thesis paper on social media

ORIGINAL RESEARCH article

Effects of social media use on psychological well-being: a mediated model.

• 1 School of Finance and Economics, Jiangsu University, Zhenjiang, China
• 2 Research Unit of Governance, Competitiveness, and Public Policies (GOVCOPP), Center for Economics and Finance (cef.up), School of Economics and Management, University of Porto, Porto, Portugal
• 3 Department of Business Administration, Sukkur Institute of Business Administration (IBA) University, Sukkur, Pakistan
• 4 CETYS Universidad, Tijuana, Mexico
• 5 Department of Business Administration, Al-Quds University, Jerusalem, Israel
• 6 Business School, Shandong University, Weihai, China

The growth in social media use has given rise to concerns about the impacts it may have on users' psychological well-being. This paper's main objective is to shed light on the effect of social media use on psychological well-being. Building on contributions from various fields in the literature, it provides a more comprehensive study of the phenomenon by considering a set of mediators, including social capital types (i.e., bonding social capital and bridging social capital), social isolation, and smartphone addiction. The paper includes a quantitative study of 940 social media users from Mexico, using structural equation modeling (SEM) to test the proposed hypotheses. The findings point to an overall positive indirect impact of social media usage on psychological well-being, mainly due to the positive effect of bonding and bridging social capital. The empirical model's explanatory power is 45.1%. This paper provides empirical evidence and robust statistical analysis that demonstrates both positive and negative effects coexist, helping to reconcile the inconsistencies found so far in the literature.

Introduction

The use of social media has grown substantially in recent years ( Leong et al., 2019 ; Kemp, 2020 ). Social media refers to “the websites and online tools that facilitate interactions between users by providing them opportunities to share information, opinions, and interest” ( Swar and Hameed, 2017 , p. 141). Individuals use social media for many reasons, including entertainment, communication, and searching for information. Notably, adolescents and young adults are spending an increasing amount of time on online networking sites, e-games, texting, and other social media ( Twenge and Campbell, 2019 ). In fact, some authors (e.g., Dhir et al., 2018 ; Tateno et al., 2019 ) have suggested that social media has altered the forms of group interaction and its users' individual and collective behavior around the world.

Consequently, there are increased concerns regarding the possible negative impacts associated with social media usage addiction ( Swar and Hameed, 2017 ; Kircaburun et al., 2020 ), particularly on psychological well-being ( Chotpitayasunondh and Douglas, 2016 ; Jiao et al., 2017 ; Choi and Noh, 2019 ; Chatterjee, 2020 ). Smartphones sometimes distract their users from relationships and social interaction ( Chotpitayasunondh and Douglas, 2016 ; Li et al., 2020a ), and several authors have stressed that the excessive use of social media may lead to smartphone addiction ( Swar and Hameed, 2017 ; Leong et al., 2019 ), primarily because of the fear of missing out ( Reer et al., 2019 ; Roberts and David, 2020 ). Social media usage has been associated with anxiety, loneliness, and depression ( Dhir et al., 2018 ; Reer et al., 2019 ), social isolation ( Van Den Eijnden et al., 2016 ; Whaite et al., 2018 ), and “phubbing,” which refers to the extent to which an individual uses, or is distracted by, their smartphone during face-to-face communication with others ( Chotpitayasunondh and Douglas, 2016 ; Jiao et al., 2017 ; Choi and Noh, 2019 ; Chatterjee, 2020 ).

However, social media use also contributes to building a sense of connectedness with relevant others ( Twenge and Campbell, 2019 ), which may reduce social isolation. Indeed, social media provides several ways to interact both with close ties, such as family, friends, and relatives, and weak ties, including coworkers, acquaintances, and strangers ( Chen and Li, 2017 ), and plays a key role among people of all ages as they exploit their sense of belonging in different communities ( Roberts and David, 2020 ). Consequently, despite the fears regarding the possible negative impacts of social media usage on well-being, there is also an increasing number of studies highlighting social media as a new communication channel ( Twenge and Campbell, 2019 ; Barbosa et al., 2020 ), stressing that it can play a crucial role in developing one's presence, identity, and reputation, thus facilitating social interaction, forming and maintaining relationships, and sharing ideas ( Carlson et al., 2016 ), which consequently may be significantly correlated to social support ( Chen and Li, 2017 ; Holliman et al., 2021 ). Interestingly, recent studies (e.g., David et al., 2018 ; Bano et al., 2019 ; Barbosa et al., 2020 ) have suggested that the impact of smartphone usage on psychological well-being depends on the time spent on each type of application and the activities that users engage in.

Hence, the literature provides contradictory cues regarding the impacts of social media on users' well-being, highlighting both the possible negative impacts and the social enhancement it can potentially provide. In line with views on the need to further investigate social media usage ( Karikari et al., 2017 ), particularly regarding its societal implications ( Jiao et al., 2017 ), this paper argues that there is an urgent need to further understand the impact of the time spent on social media on users' psychological well-being, namely by considering other variables that mediate and further explain this effect.

One of the relevant perspectives worth considering is that provided by social capital theory, which is adopted in this paper. Social capital theory has previously been used to study how social media usage affects psychological well-being (e.g., Bano et al., 2019 ). However, extant literature has so far presented only partial models of associations that, although statistically acceptable and contributing to the understanding of the scope of social networks, do not provide as comprehensive a vision of the phenomenon as that proposed within this paper. Furthermore, the contradictory views, suggesting both negative (e.g., Chotpitayasunondh and Douglas, 2016 ; Van Den Eijnden et al., 2016 ; Jiao et al., 2017 ; Whaite et al., 2018 ; Choi and Noh, 2019 ; Chatterjee, 2020 ) and positive impacts ( Carlson et al., 2016 ; Chen and Li, 2017 ; Twenge and Campbell, 2019 ) of social media on psychological well-being, have not been adequately explored.

Given this research gap, this paper's main objective is to shed light on the effect of social media use on psychological well-being. As explained in detail in the next section, this paper explores the mediating effect of bonding and bridging social capital. To provide a broad view of the phenomenon, it also considers several variables highlighted in the literature as affecting the relationship between social media usage and psychological well-being, namely smartphone addiction, social isolation, and phubbing. The paper utilizes a quantitative study conducted in Mexico, comprising 940 social media users, and uses structural equation modeling (SEM) to test a set of research hypotheses.

This article provides several contributions. First, it adds to existing literature regarding the effect of social media use on psychological well-being and explores the contradictory indications provided by different approaches. Second, it proposes a conceptual model that integrates complementary perspectives on the direct and indirect effects of social media use. Third, it offers empirical evidence and robust statistical analysis that demonstrates that both positive and negative effects coexist, helping resolve the inconsistencies found so far in the literature. Finally, this paper provides insights on how to help reduce the potential negative effects of social media use, as it demonstrates that, through bridging and bonding social capital, social media usage positively impacts psychological well-being. Overall, the article offers valuable insights for academics, practitioners, and society in general.

The remainder of this paper is organized as follows. Section Literature Review presents a literature review focusing on the factors that explain the impact of social media usage on psychological well-being. Based on the literature review, a set of hypotheses are defined, resulting in the proposed conceptual model, which includes both the direct and indirect effects of social media usage on psychological well-being. Section Research Methodology explains the methodological procedures of the research, followed by the presentation and discussion of the study's results in section Results. Section Discussion is dedicated to the conclusions and includes implications, limitations, and suggestions for future research.

Literature Review

Putnam (1995 , p. 664–665) defined social capital as “features of social life – networks, norms, and trust – that enable participants to act together more effectively to pursue shared objectives.” Li and Chen (2014 , p. 117) further explained that social capital encompasses “resources embedded in one's social network, which can be assessed and used for instrumental or expressive returns such as mutual support, reciprocity, and cooperation.”

Putnam (1995 , 2000) conceptualized social capital as comprising two dimensions, bridging and bonding, considering the different norms and networks in which they occur. Bridging social capital refers to the inclusive nature of social interaction and occurs when individuals from different origins establish connections through social networks. Hence, bridging social capital is typically provided by heterogeneous weak ties ( Li and Chen, 2014 ). This dimension widens individual social horizons and perspectives and provides extended access to resources and information. Bonding social capital refers to the social and emotional support each individual receives from his or her social networks, particularly from close ties (e.g., family and friends).

Overall, social capital is expected to be positively associated with psychological well-being ( Bano et al., 2019 ). Indeed, Williams (2006) stressed that interaction generates affective connections, resulting in positive impacts, such as emotional support. The following sub-sections use the lens of social capital theory to explore further the relationship between the use of social media and psychological well-being.

Social Media Use, Social Capital, and Psychological Well-Being

The effects of social media usage on social capital have gained increasing scholarly attention, and recent studies have highlighted a positive relationship between social media use and social capital ( Brown and Michinov, 2019 ; Tefertiller et al., 2020 ). Li and Chen (2014) hypothesized that the intensity of Facebook use by Chinese international students in the United States was positively related to social capital forms. A longitudinal survey based on the quota sampling approach illustrated the positive effects of social media use on the two social capital dimensions ( Chen and Li, 2017 ). Abbas and Mesch (2018) argued that, as Facebook usage increases, it will also increase users' social capital. Karikari et al. (2017) also found positive effects of social media use on social capital. Similarly, Pang (2018) studied Chinese students residing in Germany and found positive effects of social networking sites' use on social capital, which, in turn, was positively associated with psychological well-being. Bano et al. (2019) analyzed the 266 students' data and found positive effects of WhatsApp use on social capital forms and the positive effect of social capital on psychological well-being, emphasizing the role of social integration in mediating this positive effect.

Kim and Kim (2017) stressed the importance of having a heterogeneous network of contacts, which ultimately enhances the potential social capital. Overall, the manifest and social relations between people from close social circles (bonding social capital) and from distant social circles (bridging social capital) are strengthened when they promote communication, social support, and the sharing of interests, knowledge, and skills, which are shared with other members. This is linked to positive effects on interactions, such as acceptance, trust, and reciprocity, which are related to the individuals' health and psychological well-being ( Bekalu et al., 2019 ), including when social media helps to maintain social capital between social circles that exist outside of virtual communities ( Ellison et al., 2007 ).

Grounded on the above literature, this study proposes the following hypotheses:

H1a: Social media use is positively associated with bonding social capital.

H1b: Bonding social capital is positively associated with psychological well-being.

H2a: Social media use is positively associated with bridging social capital.

H2b: Bridging social capital is positively associated with psychological well-being.

Social Media Use, Social Isolation, and Psychological Well-Being

Social isolation is defined as “a deficit of personal relationships or being excluded from social networks” ( Choi and Noh, 2019 , p. 4). The state that occurs when an individual lacks true engagement with others, a sense of social belonging, and a satisfying relationship is related to increased mortality and morbidity ( Primack et al., 2017 ). Those who experience social isolation are deprived of social relationships and lack contact with others or involvement in social activities ( Schinka et al., 2012 ). Social media usage has been associated with anxiety, loneliness, and depression ( Dhir et al., 2018 ; Reer et al., 2019 ), and social isolation ( Van Den Eijnden et al., 2016 ; Whaite et al., 2018 ). However, some recent studies have argued that social media use decreases social isolation ( Primack et al., 2017 ; Meshi et al., 2020 ). Indeed, the increased use of social media platforms such as Facebook, WhatsApp, Instagram, and Twitter, among others, may provide opportunities for decreasing social isolation. For instance, the improved interpersonal connectivity achieved via videos and images on social media helps users evidence intimacy, attenuating social isolation ( Whaite et al., 2018 ).

Chappell and Badger (1989) stated that social isolation leads to decreased psychological well-being, while Choi and Noh (2019) concluded that greater social isolation is linked to increased suicide risk. Schinka et al. (2012) further argued that, when individuals experience social isolation from siblings, friends, family, or society, their psychological well-being tends to decrease. Thus, based on the literature cited above, this study proposes the following hypotheses:

H3a: Social media use is significantly associated with social isolation.

H3b: Social isolation is negatively associated with psychological well-being.

Social Media Use, Smartphone Addiction, Phubbing, and Psychological Well-Being

Smartphone addiction refers to “an individuals' excessive use of a smartphone and its negative effects on his/her life as a result of his/her inability to control his behavior” ( Gökçearslan et al., 2018 , p. 48). Regardless of its form, smartphone addiction results in social, medical, and psychological harm to people by limiting their ability to make their own choices ( Chotpitayasunondh and Douglas, 2016 ). The rapid advancement of information and communication technologies has led to the concept of social media, e-games, and also to smartphone addiction ( Chatterjee, 2020 ). The excessive use of smartphones for social media use, entertainment (watching videos, listening to music), and playing e-games is more common amongst people addicted to smartphones ( Jeong et al., 2016 ). In fact, previous studies have evidenced the relationship between social use and smartphone addiction ( Salehan and Negahban, 2013 ; Jeong et al., 2016 ; Swar and Hameed, 2017 ). In line with this, the following hypotheses are proposed:

H4a: Social media use is positively associated with smartphone addiction.

H4b: Smartphone addiction is negatively associated with psychological well-being.

While smartphones are bringing individuals closer, they are also, to some extent, pulling people apart ( Tonacci et al., 2019 ). For instance, they can lead to individuals ignoring others with whom they have close ties or physical interactions; this situation normally occurs due to extreme smartphone use (i.e., at the dinner table, in meetings, at get-togethers and parties, and in other daily activities). This act of ignoring others is called phubbing and is considered a common phenomenon in communication activities ( Guazzini et al., 2019 ; Chatterjee, 2020 ). Phubbing is also referred to as an act of snubbing others ( Chatterjee, 2020 ). This term was initially used in May 2012 by an Australian advertising agency to describe the “growing phenomenon of individuals ignoring their families and friends who were called phubbee (a person who is a recipients of phubbing behavior) victim of phubber (a person who start phubbing her or his companion)” ( Chotpitayasunondh and Douglas, 2018 ). Smartphone addiction has been found to be a determinant of phubbing ( Kim et al., 2018 ). Other recent studies have also evidenced the association between smartphones and phubbing ( Chotpitayasunondh and Douglas, 2016 ; Guazzini et al., 2019 ; Tonacci et al., 2019 ; Chatterjee, 2020 ). Vallespín et al. (2017 ) argued that phubbing behavior has a negative influence on psychological well-being and satisfaction. Furthermore, smartphone addiction is considered responsible for the development of new technologies. It may also negatively influence individual's psychological proximity ( Chatterjee, 2020 ). Therefore, based on the above discussion and calls for the association between phubbing and psychological well-being to be further explored, this study proposes the following hypotheses:

H5: Smartphone addiction is positively associated with phubbing.

H6: Phubbing is negatively associated with psychological well-being.

Indirect Relationship Between Social Media Use and Psychological Well-Being

Beyond the direct hypotheses proposed above, this study investigates the indirect effects of social media use on psychological well-being mediated by social capital forms, social isolation, and phubbing. As described above, most prior studies have focused on the direct influence of social media use on social capital forms, social isolation, smartphone addiction, and phubbing, as well as the direct impact of social capital forms, social isolation, smartphone addiction, and phubbing on psychological well-being. Very few studies, however, have focused on and evidenced the mediating role of social capital forms, social isolation, smartphone addiction, and phubbing derived from social media use in improving psychological well-being ( Chen and Li, 2017 ; Pang, 2018 ; Bano et al., 2019 ; Choi and Noh, 2019 ). Moreover, little is known about smartphone addiction's mediating role between social media use and psychological well-being. Therefore, this study aims to fill this gap in the existing literature by investigating the mediation of social capital forms, social isolation, and smartphone addiction. Further, examining the mediating influence will contribute to a more comprehensive understanding of social media use on psychological well-being via the mediating associations of smartphone addiction and psychological factors. Therefore, based on the above, we propose the following hypotheses (the conceptual model is presented in Figure 1 ):

H7: (a) Bonding social capital; (b) bridging social capital; (c) social isolation; and (d) smartphone addiction mediate the relationship between social media use and psychological well-being.

Figure 1 . Conceptual model.

Research Methodology

Sample procedure and online survey.

This study randomly selected students from universities in Mexico. We chose University students for the following reasons. First, students are considered the most appropriate sample for e-commerce studies, particularly in the social media context ( Oghazi et al., 2018 ; Shi et al., 2018 ). Second, University students are considered to be frequent users and addicted to smartphones ( Mou et al., 2017 ; Stouthuysen et al., 2018 ). Third, this study ensured that respondents were experienced, well-educated, and possessed sufficient knowledge of the drawbacks of social media and the extreme use of smartphones. A total sample size of 940 University students was ultimately achieved from the 1,500 students contacted, using a convenience random sampling approach, due both to the COVID-19 pandemic and budget and time constraints. Additionally, in order to test the model, a quantitative empirical study was conducted, using an online survey method to collect data. This study used a web-based survey distributed via social media platforms for two reasons: the COVID-19 pandemic; and to reach a large number of respondents ( Qalati et al., 2021 ). Furthermore, online surveys are considered a powerful and authenticated tool for new research ( Fan et al., 2021 ), while also representing a fast, simple, and less costly approach to collecting data ( Dutot and Bergeron, 2016 ).

Data Collection Procedures and Respondent's Information

Data were collected by disseminating a link to the survey by e-mail and social network sites. Before presenting the closed-ended questionnaire, respondents were assured that their participation would remain voluntary, confidential, and anonymous. Data collection occurred from July 2020 to December 2020 (during the pandemic). It should be noted that, because data were collected during the pandemic, this may have had an influence on the results of the study. The reason for choosing a six-month lag time was to mitigate common method bias (CMB) ( Li et al., 2020b ). In the present study, 1,500 students were contacted via University e-mail and social applications (Facebook, WhatsApp, and Instagram). We sent a reminder every month for 6 months (a total of six reminders), resulting in 940 valid responses. Thus, 940 (62.6% response rate) responses were used for hypotheses testing.

Table 1 reveals that, of the 940 participants, three-quarters were female (76.4%, n = 719) and nearly one-quarter (23.6%, n = 221) were male. Nearly half of the participants (48.8%, n = 459) were aged between 26 and 35 years, followed by 36 to 35 years (21.9%, n = 206), <26 (20.3%, n = 191), and over 45 (8.9%, n = 84). Approximately two-thirds (65%, n = 611) had a bachelor's degree or above, while one-third had up to 12 years of education. Regarding the daily frequency of using the Internet, nearly half (48.6%, n = 457) of the respondents reported between 5 and 8 h a day, and over one-quarter (27.2%) 9–12 h a day. Regarding the social media platforms used, over 38.5 and 39.6% reported Facebook and WhatsApp, respectively. Of the 940 respondents, only 22.1% reported Instagram (12.8%) and Twitter (9.2%). It should be noted, however, that the sample is predominantly female and well-educated.

Table 1 . Respondents' characteristics.

Measurement Items

The study used five-point Likert scales (1 = “strongly disagree;” 5 = “strongly agree”) to record responses.

Social Media Use

Social media use was assessed using four items adapted from Karikari et al. (2017) . Sample items include “Social media is part of my everyday activity,” “Social media has become part of my daily life,” “I would be sorry if social media shut down,” and “I feel out of touch, when I have not logged onto social media for a while.” The adapted items had robust reliability and validity (CA = 783, CR = 0.857, AVE = 0.600).

Social Capital

Social capital was measured using a total of eight items, representing bonding social capital (four items) and bridging social capital (four items) adapted from Chan (2015) . Sample construct items include: bonging social capital (“I am willing to spend time to support general community activities,” “I interact with people who are quite different from me”) and bridging social capital (“My social media community is a good place to be,” “Interacting with people on social media makes me want to try new things”). The adapted items had robust reliability and validity [bonding social capital (CA = 0.785, CR = 0.861, AVE = 0.608) and bridging social capital (CA = 0.834, CR = 0.883, AVE = 0.601)].

Social Isolation

Social isolation was assessed using three items from Choi and Noh (2019) . Sample items include “I do not have anyone to play with,” “I feel alone from people,” and “I have no one I can trust.” This adapted scale had substantial reliability and validity (CA = 0.890, CR = 0.928, AVE = 0.811).

Smartphone Addiction

Smartphone addiction was assessed using five items taken from Salehan and Negahban (2013) . Sample items include “I am always preoccupied with my mobile,” “Using my mobile phone keeps me relaxed,” and “I am not able to control myself from frequent use of mobile phones.” Again, these adapted items showed substantial reliability and validity (CA = 903, CR = 0.928, AVE = 0.809).

Phubbing was assessed using four items from Chotpitayasunondh and Douglas (2018) . Sample items include: “I have conflicts with others because I am using my phone” and “I would rather pay attention to my phone than talk to others.” This construct also demonstrated significant reliability and validity (CA = 770, CR = 0.894, AVE = 0.809).

Psychological Well-Being

Psychological well-being was assessed using five items from Jiao et al. (2017) . Sample items include “I lead a purposeful and meaningful life with the help of others,” “My social relationships are supportive and rewarding in social media,” and “I am engaged and interested in my daily on social media.” This study evidenced that this adapted scale had substantial reliability and validity (CA = 0.886, CR = 0.917, AVE = 0.688).

Data Analysis

Based on the complexity of the association between the proposed construct and the widespread use and acceptance of SmartPLS 3.0 in several fields ( Hair et al., 2019 ), we utilized SEM, using SmartPLS 3.0, to examine the relationships between constructs. Structural equation modeling is a multivariate statistical analysis technique that is used to investigate relationships. Further, it is a combination of factor and multivariate regression analysis, and is employed to explore the relationship between observed and latent constructs.

SmartPLS 3.0 “is a more comprehensive software program with an intuitive graphical user interface to run partial least square SEM analysis, certainly has had a massive impact” ( Sarstedt and Cheah, 2019 ). According to Ringle et al. (2015) , this commercial software offers a wide range of algorithmic and modeling options, improved usability, and user-friendly and professional support. Furthermore, Sarstedt and Cheah (2019) suggested that structural equation models enable the specification of complex interrelationships between observed and latent constructs. Hair et al. (2019) argued that, in recent years, the number of articles published using partial least squares SEM has increased significantly in contrast to covariance-based SEM. In addition, partial least squares SEM using SmartPLS is more appealing for several scholars as it enables them to predict more complex models with several variables, indicator constructs, and structural paths, instead of imposing distributional assumptions on the data ( Hair et al., 2019 ). Therefore, this study utilized the partial least squares SEM approach using SmartPLS 3.0.

Common Method Bias (CMB) Test

This study used the Kaiser–Meyer–Olkin (KMO) test to measure the sampling adequacy and ensure data suitability. The KMO test result was 0.874, which is greater than an acceptable threshold of 0.50 ( Ali Qalati et al., 2021 ; Shrestha, 2021 ), and hence considered suitable for explanatory factor analysis. Moreover, Bartlett's test results demonstrated a significance level of 0.001, which is considered good as it is below the accepted threshold of 0.05.

The term CMB is associated with Campbell and Fiske (1959) , who highlighted the importance of CMB and identified that a portion of variance in the research may be due to the methods employed. It occurs when all scales of the study are measured at the same time using a single questionnaire survey ( Podsakoff and Organ, 1986 ); subsequently, estimates of the relationship among the variables might be distorted by the impacts of CMB. It is considered a serious issue that has a potential to “jeopardize” the validity of the study findings ( Tehseen et al., 2017 ). There are several reasons for CMB: (1) it mainly occurs due to response “tendencies that raters can apply uniformity across the measures;” and (2) it also occurs due to similarities in the wording and structure of the survey items that produce similar results ( Jordan and Troth, 2019 ). Harman's single factor test and a full collinearity approach were employed to ensure that the data was free from CMB ( Tehseen et al., 2017 ; Jordan and Troth, 2019 ; Ali Qalati et al., 2021 ). Harman's single factor test showed a single factor explained only 22.8% of the total variance, which is far below the 50.0% acceptable threshold ( Podsakoff et al., 2003 ).

Additionally, the variance inflation factor (VIF) was used, which is a measure of the amount of multicollinearity in a set of multiple regression constructs and also considered a way of detecting CMB ( Hair et al., 2019 ). Hair et al. (2019) suggested that the acceptable threshold for the VIF is 3.0; as the computed VIFs for the present study ranged from 1.189 to 1.626, CMB is not a key concern (see Table 2 ). Bagozzi et al. (1991) suggested a correlation-matrix procedure to detect CMB. Common method bias is evident if correlation among the principle constructs is >0.9 ( Tehseen et al., 2020 ); however, no values >0.9 were found in this study (see section Assessment of Measurement Model). This study used a two-step approach to evaluate the measurement model and the structural model.

Table 2 . Common method bias (full collinearity VIF).

Assessment of Measurement Model

Before conducting the SEM analysis, the measurement model was assessed to examine individual item reliability, internal consistency, and convergent and discriminant validity. Table 3 exhibits the values of outer loading used to measure an individual item's reliability ( Hair et al., 2012 ). Hair et al. (2017) proposed that the value for each outer loading should be ≥0.7; following this principle, two items of phubbing (PHUB3—I get irritated if others ask me to get off my phone and talk to them; PHUB4—I use my phone even though I know it irritated others) were removed from the analysis Hair et al. (2019) . According to Nunnally (1978) , Cronbach's alpha values should exceed 0.7. The threshold values of constructs in this study ranged from 0.77 to 0.903. Regarding internal consistency, Bagozzi and Yi (1988) suggested that composite reliability (CR) should be ≥0.7. The coefficient value for CR in this study was between 0.857 and 0.928. Regarding convergent validity, Fornell and Larcker (1981) suggested that the average variance extracted (AVE) should be ≥0.5. Average variance extracted values in this study were between 0.60 and 0.811. Finally, regarding discriminant validity, according to Fornell and Larcker (1981) , the square root of the AVE for each construct should exceed the inter-correlations of the construct with other model constructs. That was the case in this study, as shown in Table 4 .

Table 3 . Study measures, factor loading, and the constructs' reliability and convergent validity.

Table 4 . Discriminant validity and correlation.

Hence, by analyzing the results of the measurement model, it can be concluded that the data are adequate for structural equation estimation.

Assessment of the Structural Model

This study used the PLS algorithm and a bootstrapping technique with 5,000 bootstraps as proposed by Hair et al. (2019) to generate the path coefficient values and their level of significance. The coefficient of determination ( R 2 ) is an important measure to assess the structural model and its explanatory power ( Henseler et al., 2009 ; Hair et al., 2019 ). Table 5 and Figure 2 reveal that the R 2 value in the present study was 0.451 for psychological well-being, which means that 45.1% of changes in psychological well-being occurred due to social media use, social capital forms (i.e., bonding and bridging), social isolation, smartphone addiction, and phubbing. Cohen (1998) proposed that R 2 values of 0.60, 0.33, and 0.19 are considered substantial, moderate, and weak. Following Cohen's (1998) threshold values, this research demonstrates a moderate predicting power for psychological well-being among Mexican respondents ( Table 6 ).

Table 5 . Summary of path coefficients and hypothesis testing.

Figure 2 . Structural model.

Table 6 . Strength of the model (Predictive relevance, coefficient of determination, and model fit indices).

Apart from the R 2 measure, the present study also used cross-validated redundancy measures, or effect sizes ( q 2 ), to assess the proposed model and validate the results ( Ringle et al., 2012 ). Hair et al. (2019) suggested that a model exhibiting an effect size q 2 > 0 has predictive relevance ( Table 6 ). This study's results evidenced that it has a 0.15 <0.29 <0.35 (medium) predictive relevance, as 0.02, 0.15, and 0.35 are considered small, medium, and large, respectively ( Cohen, 1998 ). Regarding the goodness-of-fit indices, Hair et al. (2019) suggested the standardized root mean square residual (SRMR) to evaluate the goodness of fit. Standardized root mean square is an absolute measure of fit: a value of zero indicates perfect fit and a value <0.08 is considered good fit ( Hair et al., 2019 ). This study exhibits an adequate model fitness level with an SRMR value of 0.063 ( Table 6 ).

Table 5 reveals that all hypotheses of the study were accepted base on the criterion ( p -value < 0.05). H1a (β = 0.332, t = 10.283, p = 0.001) was confirmed, with the second most robust positive and significant relationship (between social media use and bonding social capital). In addition, this study evidenced a positive and significant relationship between bonding social capital and psychological well-being (β = 0.127, t = 4.077, p = 0.001); therefore, H1b was accepted. Regarding social media use and bridging social capital, the present study found the most robust positive and significant impact (β = 0.439, t = 15.543, p = 0.001); therefore, H2a was accepted. The study also evidenced a positive and significant association between bridging social capital and psychological well-being (β = 0.561, t = 20.953, p = 0.001); thus, H2b was accepted. The present study evidenced a significant effect of social media use on social isolation (β = 0.145, t = 4.985, p = 0.001); thus, H3a was accepted. In addition, this study accepted H3b (β = −0.051, t = 2.01, p = 0.044). Furthermore, this study evidenced a positive and significant effect of social media use on smartphone addiction (β = 0.223, t = 6.241, p = 0.001); therefore, H4a was accepted. Furthermore, the present study found that smartphone addiction has a negative significant influence on psychological well-being (β = −0.068, t = 2.387, p = 0.017); therefore, H4b was accepted. Regarding the relationship between smartphone addiction and phubbing, this study found a positive and significant effect of smartphone addiction on phubbing (β = 0.244, t = 7.555, p = 0.001); therefore, H5 was accepted. Furthermore, the present research evidenced a positive and significant influence of phubbing on psychological well-being (β = 0.137, t = 4.938, p = 0.001); therefore, H6 was accepted. Finally, the study provides interesting findings on the indirect effect of social media use on psychological well-being ( t -value > 1.96 and p -value < 0.05); therefore, H7a–d were accepted.

Furthermore, to test the mediating analysis, Preacher and Hayes's (2008) approach was used. The key characteristic of an indirect relationship is that it involves a third construct, which plays a mediating role in the relationship between the independent and dependent constructs. Logically, the effect of A (independent construct) on C (the dependent construct) is mediated by B (a third variable). Preacher and Hayes (2008) suggested the following: B is a construct acting as a mediator if A significantly influences B, A significantly accounts for variability in C, B significantly influences C when controlling for A, and the influence of A on C decreases significantly when B is added simultaneously with A as a predictor of C. According to Matthews et al. (2018) , if the indirect effect is significant while the direct insignificant, full mediation has occurred, while if both direct and indirect effects are substantial, partial mediation has occurred. This study evidenced that there is partial mediation in the proposed construct ( Table 5 ). Following Preacher and Hayes (2008) this study evidenced that there is partial mediation in the proposed construct, because the relationship between independent variable (social media use) and dependent variable (psychological well-being) is significant ( p -value < 0.05) and indirect effect among them after introducing mediator (bonding social capital, bridging social capital, social isolation, and smartphone addiction) is also significant ( p -value < 0.05), therefore it is evidenced that when there is a significant effect both direct and indirect it's called partial mediation.

The present study reveals that the social and psychological impacts of social media use among University students is becoming more complex as there is continuing advancement in technology, offering a range of affordable interaction opportunities. Based on the 940 valid responses collected, all the hypotheses were accepted ( p < 0.05).

H1a finding suggests that social media use is a significant influencing factor of bonding social capital. This implies that, during a pandemic, social media use enables students to continue their close relationships with family members, friends, and those with whom they have close ties. This finding is in line with prior work of Chan (2015) and Ellison et al. (2007) , who evidenced that social bonding capital is predicted by Facebook use and having a mobile phone. H1b findings suggest that, when individuals believe that social communication can help overcome obstacles to interaction and encourage more virtual self-disclosure, social media use can improve trust and promote the establishment of social associations, thereby enhancing well-being. These findings are in line with those of Gong et al. (2021) , who also witnessed the significant effect of bonding social capital on immigrants' psychological well-being, subsequently calling for the further evidence to confirm the proposed relationship.

The findings of the present study related to H2a suggest that students are more likely to use social media platforms to receive more emotional support, increase their ability to mobilize others, and to build social networks, which leads to social belongingness. Furthermore, the findings suggest that social media platforms enable students to accumulate and maintain bridging social capital; further, online classes can benefit students who feel shy when participating in offline classes. This study supports the previous findings of Chan (2015) and Karikari et al. (2017) . Notably, the present study is not limited to a single social networking platform, taking instead a holistic view of social media. The H2b findings are consistent with those of Bano et al. (2019) , who also confirmed the link between bonding social capital and psychological well-being among University students using WhatsApp as social media platform, as well as those of Chen and Li (2017) .

The H3a findings suggest that, during the COVID-19 pandemic when most people around the world have had limited offline or face-to-face interaction and have used social media to connect with families, friends, and social communities, they have often been unable to connect with them. This is due to many individuals avoiding using social media because of fake news, financial constraints, and a lack of trust in social media; thus, the lack both of offline and online interaction, coupled with negative experiences on social media use, enhances the level of social isolation ( Hajek and König, 2021 ). These findings are consistent with those of Adnan and Anwar (2020) . The H3b suggests that higher levels of social isolation have a negative impact on psychological well-being. These result indicating that, consistent with Choi and Noh (2019) , social isolation is negatively and significantly related to psychological well-being.

The H4a results suggests that substantial use of social media use leads to an increase in smartphone addiction. These findings are in line with those of Jeong et al. (2016) , who stated that the excessive use of smartphones for social media, entertainment (watching videos, listening to music), and playing e-games was more likely to lead to smartphone addiction. These findings also confirm the previous work of Jeong et al. (2016) , Salehan and Negahban (2013) , and Swar and Hameed (2017) . The H4b results revealed that a single unit increase in smartphone addiction results in a 6.8% decrease in psychological well-being. These findings are in line with those of Tangmunkongvorakul et al. (2019) , who showed that students with higher levels of smartphone addiction had lower psychological well-being scores. These findings also support those of Shoukat (2019) , who showed that smartphone addiction inversely influences individuals' mental health.

This suggests that the greater the smartphone addiction, the greater the phubbing. The H5 findings are in line with those of Chatterjee (2020) , Chotpitayasunondh and Douglas (2016) , Guazzini et al. (2019) , and Tonacci et al. (2019) , who also evidenced a significant impact of smartphone addiction and phubbing. Similarly, Chotpitayasunondh and Douglas (2018) corroborated that smartphone addiction is the main predictor of phubbing behavior. However, these findings are inconsistent with those of Vallespín et al. (2017 ), who found a negative influence of phubbing.

The H6 results suggests that phubbing is one of the significant predictors of psychological well-being. Furthermore, these findings suggest that, when phubbers use a cellphone during interaction with someone, especially during the current pandemic, and they are connected with many family members, friends, and relatives; therefore, this kind of action gives them more satisfaction, which simultaneously results in increased relaxation and decreased depression ( Chotpitayasunondh and Douglas, 2018 ). These findings support those of Davey et al. (2018) , who evidenced that phubbing has a significant influence on adolescents and social health students in India.

The findings showed a significant and positive effect of social media use on psychological well-being both through bridging and bonding social capital. However, a significant and negative effect of social media use on psychological well-being through smartphone addiction and through social isolation was also found. Hence, this study provides evidence that could shed light on the contradictory contributions in the literature suggesting both positive (e.g., Chen and Li, 2017 ; Twenge and Campbell, 2019 ; Roberts and David, 2020 ) and negative (e.g., Chotpitayasunondh and Douglas, 2016 ; Jiao et al., 2017 ; Choi and Noh, 2019 ; Chatterjee, 2020 ) effects of social media use on psychological well-being. This study concludes that the overall impact is positive, despite some degree of negative indirect impact.

Theoretical Contributions

This study's findings contribute to the current literature, both by providing empirical evidence for the relationships suggested by extant literature and by demonstrating the relevance of adopting a more complex approach that considers, in particular, the indirect effect of social media on psychological well-being. As such, this study constitutes a basis for future research ( Van Den Eijnden et al., 2016 ; Whaite et al., 2018 ) aiming to understand the impacts of social media use and to find ways to reduce its possible negative impacts.

In line with Kim and Kim (2017) , who stressed the importance of heterogeneous social networks in improving social capital, this paper suggests that, to positively impact psychological well-being, social media usage should be associated both with strong and weak ties, as both are important in building social capital, and hence associated with its bonding and bridging facets. Interestingly, though, bridging capital was shown as having the greatest impact on psychological well-being. Thus, the importance of wider social horizons, the inclusion in different groups, and establishing new connections ( Putnam, 1995 , 2000 ) with heterogeneous weak ties ( Li and Chen, 2014 ) are highlighted in this paper.

Practical Contributions

These findings are significant for practitioners, particularly those interested in dealing with the possible negative impacts of social media use on psychological well-being. Although social media use is associated with factors that negatively impact psychological well-being, particularly smartphone addiction and social isolation, these negative impacts can be lessened if the connections with both strong and weak ties are facilitated and featured by social media. Indeed, social media platforms offer several features, from facilitating communication with family, friends, and acquaintances, to identifying and offering access to other people with shared interests. However, it is important to access heterogeneous weak ties ( Li and Chen, 2014 ) so that social media offers access to wider sources of information and new resources, hence enhancing bridging social capital.

Limitations and Directions for Future Studies

This study is not without limitations. For example, this study used a convenience sampling approach to reach to a large number of respondents. Further, this study was conducted in Mexico only, limiting the generalizability of the results; future research should therefore use a cross-cultural approach to investigate the impacts of social media use on psychological well-being and the mediating role of proposed constructs (e.g., bonding and bridging social capital, social isolation, and smartphone addiction). The sample distribution may also be regarded as a limitation of the study because respondents were mainly well-educated and female. Moreover, although Internet channels represent a particularly suitable way to approach social media users, the fact that this study adopted an online survey does not guarantee a representative sample of the population. Hence, extrapolating the results requires caution, and study replication is recommended, particularly with social media users from other countries and cultures. The present study was conducted in the context of mainly University students, primarily well-educated females, via an online survey on in Mexico; therefore, the findings represent a snapshot at a particular time. Notably, however, the effect of social media use is increasing due to COVID-19 around the globe and is volatile over time.

Two of the proposed hypotheses of this study, namely the expected negative impacts of social media use on social isolation and of phubbing on psychological well-being, should be further explored. One possible approach is to consider the type of connections (i.e., weak and strong ties) to explain further the impact of social media usage on social isolation. Apparently, the prevalence of weak ties, although facilitating bridging social capital, may have an adverse impact in terms of social isolation. Regarding phubbing, the fact that the findings point to a possible positive impact on psychological well-being should be carefully addressed, specifically by psychology theorists and scholars, in order to identify factors that may help further understand this phenomenon. Other suggestions for future research include using mixed-method approaches, as qualitative studies could help further validate the results and provide complementary perspectives on the relationships between the considered variables.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Jiangsu University. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

This study is supported by the National Statistics Research Project of China (2016LY96).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbas, R., and Mesch, G. (2018). Do rich teens get richer? Facebook use and the link between offline and online social capital among Palestinian youth in Israel. Inf. Commun. Soc. 21, 63–79. doi: 10.1080/1369118X.2016.1261168

CrossRef Full Text | Google Scholar

Adnan, M., and Anwar, K. (2020). Online learning amid the COVID-19 pandemic: students' perspectives. J. Pedagog. Sociol. Psychol. 2, 45–51. doi: 10.33902/JPSP.2020261309

PubMed Abstract | CrossRef Full Text | Google Scholar

Ali Qalati, S., Li, W., Ahmed, N., Ali Mirani, M., and Khan, A. (2021). Examining the factors affecting SME performance: the mediating role of social media adoption. Sustainability 13:75. doi: 10.3390/su13010075

Bagozzi, R. P., and Yi, Y. (1988). On the evaluation of structural equation models. J. Acad. Mark. Sci. 16, 74–94. doi: 10.1007/BF02723327

Bagozzi, R. P., Yi, Y., and Phillips, L. W. (1991). Assessing construct validity in organizational research. Admin. Sci. Q. 36, 421–458. doi: 10.2307/2393203

Bano, S., Cisheng, W., Khan, A. N., and Khan, N. A. (2019). WhatsApp use and student's psychological well-being: role of social capital and social integration. Child. Youth Serv. Rev. 103, 200–208. doi: 10.1016/j.childyouth.2019.06.002

Barbosa, B., Chkoniya, V., Simoes, D., Filipe, S., and Santos, C. A. (2020). Always connected: generation Y smartphone use and social capital. Rev. Ibérica Sist. Tecnol. Inf. E 35, 152–166.

Google Scholar

Bekalu, M. A., McCloud, R. F., and Viswanath, K. (2019). Association of social media use with social well-being, positive mental health, and self-rated health: disentangling routine use from emotional connection to use. Health Educ. Behav. 46(2 Suppl), 69S−80S. doi: 10.1177/1090198119863768

Brown, G., and Michinov, N. (2019). Measuring latent ties on Facebook: a novel approach to studying their prevalence and relationship with bridging social capital. Technol. Soc. 59:101176. doi: 10.1016/j.techsoc.2019.101176

Campbell, D. T., and Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol. Bull. 56, 81–105. doi: 10.1037/h0046016

Carlson, J. R., Zivnuska, S., Harris, R. B., Harris, K. J., and Carlson, D. S. (2016). Social media use in the workplace: a study of dual effects. J. Org. End User Comput. 28, 15–31. doi: 10.4018/JOEUC.2016010102

Chan, M. (2015). Mobile phones and the good life: examining the relationships among mobile use, social capital and subjective well-being. New Media Soc. 17, 96–113. doi: 10.1177/1461444813516836

Chappell, N. L., and Badger, M. (1989). Social isolation and well-being. J. Gerontol. 44, S169–S176. doi: 10.1093/geronj/44.5.s169

Chatterjee, S. (2020). Antecedents of phubbing: from technological and psychological perspectives. J. Syst. Inf. Technol. 22, 161–118. doi: 10.1108/JSIT-05-2019-0089

Chen, H.-T., and Li, X. (2017). The contribution of mobile social media to social capital and psychological well-being: examining the role of communicative use, friending and self-disclosure. Comput. Hum. Behav. 75, 958–965. doi: 10.1016/j.chb.2017.06.011

Choi, D.-H., and Noh, G.-Y. (2019). The influence of social media use on attitude toward suicide through psychological well-being, social isolation, and social support. Inf. Commun. Soc. 23, 1–17. doi: 10.1080/1369118X.2019.1574860

Chotpitayasunondh, V., and Douglas, K. M. (2016). How “phubbing” becomes the norm: the antecedents and consequences of snubbing via smartphone. Comput. Hum. Behav. 63, 9–18. doi: 10.1016/j.chb.2016.05.018

Chotpitayasunondh, V., and Douglas, K. M. (2018). The effects of “phubbing” on social interaction. J. Appl. Soc. Psychol. 48, 304–316. doi: 10.1111/jasp.12506

Cohen, J. (1998). Statistical Power Analysis for the Behavioural Sciences . Hillsdale, NJ: Lawrence Erlbaum Associates.

Davey, S., Davey, A., Raghav, S. K., Singh, J. V., Singh, N., Blachnio, A., et al. (2018). Predictors and consequences of “phubbing” among adolescents and youth in India: an impact evaluation study. J. Fam. Community Med. 25, 35–42. doi: 10.4103/jfcm.JFCM_71_17

David, M. E., Roberts, J. A., and Christenson, B. (2018). Too much of a good thing: investigating the association between actual smartphone use and individual well-being. Int. J. Hum. Comput. Interact. 34, 265–275. doi: 10.1080/10447318.2017.1349250

Dhir, A., Yossatorn, Y., Kaur, P., and Chen, S. (2018). Online social media fatigue and psychological wellbeing—a study of compulsive use, fear of missing out, fatigue, anxiety and depression. Int. J. Inf. Manag. 40, 141–152. doi: 10.1016/j.ijinfomgt.2018.01.012

Dutot, V., and Bergeron, F. (2016). From strategic orientation to social media orientation: improving SMEs' performance on social media. J. Small Bus. Enterp. Dev. 23, 1165–1190. doi: 10.1108/JSBED-11-2015-0160

Ellison, N. B., Steinfield, C., and Lampe, C. (2007). The benefits of Facebook “friends:” Social capital and college students' use of online social network sites. J. Comput. Mediat. Commun. 12, 1143–1168. doi: 10.1111/j.1083-6101.2007.00367.x

Fan, M., Huang, Y., Qalati, S. A., Shah, S. M. M., Ostic, D., and Pu, Z. (2021). Effects of information overload, communication overload, and inequality on digital distrust: a cyber-violence behavior mechanism. Front. Psychol. 12:643981. doi: 10.3389/fpsyg.2021.643981

Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. J. Market. Res. 18, 39–50. doi: 10.1177/002224378101800104

Gökçearslan, S., Uluyol, Ç., and Sahin, S. (2018). Smartphone addiction, cyberloafing, stress and social support among University students: a path analysis. Child. Youth Serv. Rev. 91, 47–54. doi: 10.1016/j.childyouth.2018.05.036

Gong, S., Xu, P., and Wang, S. (2021). Social capital and psychological well-being of Chinese immigrants in Japan. Int. J. Environ. Res. Public Health 18:547. doi: 10.3390/ijerph18020547

Guazzini, A., Duradoni, M., Capelli, A., and Meringolo, P. (2019). An explorative model to assess individuals' phubbing risk. Fut. Internet 11:21. doi: 10.3390/fi11010021

Hair, J. F., Risher, J. J., Sarstedt, M., and Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 31, 2–24. doi: 10.1108/EBR-11-2018-0203

Hair, J. F., Sarstedt, M., Pieper, T. M., and Ringle, C. M. (2012). The use of partial least squares structural equation modeling in strategic management research: a review of past practices and recommendations for future applications. Long Range Plann. 45, 320–340. doi: 10.1016/j.lrp.2012.09.008

Hair, J. F., Sarstedt, M., Ringle, C. M., and Gudergan, S. P. (2017). Advanced Issues in Partial Least Squares Structural Equation Modeling. Thousand Oaks, CA: Sage.

Hajek, A., and König, H.-H. (2021). Social isolation and loneliness of older adults in times of the CoViD-19 pandemic: can use of online social media sites and video chats assist in mitigating social isolation and loneliness? Gerontology 67, 121–123. doi: 10.1159/000512793

Henseler, J., Ringle, C. M., and Sinkovics, R. R. (2009). “The use of partial least squares path modeling in international marketing,” in New Challenges to International Marketing , Vol. 20, eds R.R. Sinkovics and P.N. Ghauri (Bigley: Emerald), 277–319.

Holliman, A. J., Waldeck, D., Jay, B., Murphy, S., Atkinson, E., Collie, R. J., et al. (2021). Adaptability and social support: examining links with psychological wellbeing among UK students and non-students. Fron. Psychol. 12:636520. doi: 10.3389/fpsyg.2021.636520

Jeong, S.-H., Kim, H., Yum, J.-Y., and Hwang, Y. (2016). What type of content are smartphone users addicted to? SNS vs. games. Comput. Hum. Behav. 54, 10–17. doi: 10.1016/j.chb.2015.07.035

Jiao, Y., Jo, M.-S., and Sarigöllü, E. (2017). Social value and content value in social media: two paths to psychological well-being. J. Org. Comput. Electr. Commer. 27, 3–24. doi: 10.1080/10919392.2016.1264762

Jordan, P. J., and Troth, A. C. (2019). Common method bias in applied settings: the dilemma of researching in organizations. Austr. J. Manag. 45, 3–14. doi: 10.1177/0312896219871976

Karikari, S., Osei-Frimpong, K., and Owusu-Frimpong, N. (2017). Evaluating individual level antecedents and consequences of social media use in Ghana. Technol. Forecast. Soc. Change 123, 68–79. doi: 10.1016/j.techfore.2017.06.023

Kemp, S. (January 30, 2020). Digital 2020: 3.8 billion people use social media. We Are Social . Available online at: https://wearesocial.com/blog/2020/01/digital-2020-3-8-billion-people-use-social-media .

Kim, B., and Kim, Y. (2017). College students' social media use and communication network heterogeneity: implications for social capital and subjective well-being. Comput. Hum. Behav. 73, 620–628. doi: 10.1016/j.chb.2017.03.033

Kim, K., Milne, G. R., and Bahl, S. (2018). Smart phone addiction and mindfulness: an intergenerational comparison. Int. J. Pharmaceut. Healthcare Market. 12, 25–43. doi: 10.1108/IJPHM-08-2016-0044

Kircaburun, K., Alhabash, S., Tosuntaş, S. B., and Griffiths, M. D. (2020). Uses and gratifications of problematic social media use among University students: a simultaneous examination of the big five of personality traits, social media platforms, and social media use motives. Int. J. Mental Health Addict. 18, 525–547. doi: 10.1007/s11469-018-9940-6

Leong, L.-Y., Hew, T.-S., Ooi, K.-B., Lee, V.-H., and Hew, J.-J. (2019). A hybrid SEM-neural network analysis of social media addiction. Expert Syst. Appl. 133, 296–316. doi: 10.1016/j.eswa.2019.05.024

Li, L., Griffiths, M. D., Mei, S., and Niu, Z. (2020a). Fear of missing out and smartphone addiction mediates the relationship between positive and negative affect and sleep quality among Chinese University students. Front. Psychiatr. 11:877. doi: 10.3389/fpsyt.2020.00877

Li, W., Qalati, S. A., Khan, M. A. S., Kwabena, G. Y., Erusalkina, D., and Anwar, F. (2020b). Value co-creation and growth of social enterprises in developing countries: moderating role of environmental dynamics. Entrep. Res. J. 2020:20190359. doi: 10.1515/erj-2019-0359

Li, X., and Chen, W. (2014). Facebook or Renren? A comparative study of social networking site use and social capital among Chinese international students in the United States. Comput. Hum. Behav . 35, 116–123. doi: 10.1016/j.chb.2014.02.012

Matthews, L., Hair, J. F., and Matthews, R. (2018). PLS-SEM: the holy grail for advanced analysis. Mark. Manag. J. 28, 1–13.

Meshi, D., Cotten, S. R., and Bender, A. R. (2020). Problematic social media use and perceived social isolation in older adults: a cross-sectional study. Gerontology 66, 160–168. doi: 10.1159/000502577

Mou, J., Shin, D.-H., and Cohen, J. (2017). Understanding trust and perceived usefulness in the consumer acceptance of an e-service: a longitudinal investigation. Behav. Inf. Technol. 36, 125–139. doi: 10.1080/0144929X.2016.1203024

Nunnally, J. (1978). Psychometric Methods . New York, NY: McGraw-Hill.

Oghazi, P., Karlsson, S., Hellström, D., and Hjort, K. (2018). Online purchase return policy leniency and purchase decision: mediating role of consumer trust. J. Retail. Consumer Serv. 41, 190–200.

Pang, H. (2018). Exploring the beneficial effects of social networking site use on Chinese students' perceptions of social capital and psychological well-being in Germany. Int. J. Intercult. Relat. 67, 1–11. doi: 10.1016/j.ijintrel.2018.08.002

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., and Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. J. Appl. Psychol. 88, 879–903. doi: 10.1037/0021-9010.88.5.879

Podsakoff, P. M., and Organ, D. W. (1986). Self-reports in organizational research: problems and prospects. J. Manag. 12, 531–544. doi: 10.1177/014920638601200408

Preacher, K. J., and Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res. Methods 40, 879–891. doi: 10.3758/brm.40.3.879

Primack, B. A., Shensa, A., Sidani, J. E., Whaite, E. O., yi Lin, L., Rosen, D., et al. (2017). Social media use and perceived social isolation among young adults in the US. Am. J. Prev. Med. 53, 1–8. doi: 10.1016/j.amepre.2017.01.010

Putnam, R. D. (1995). Tuning in, tuning out: the strange disappearance of social capital in America. Polit. Sci. Polit. 28, 664–684. doi: 10.2307/420517

Putnam, R. D. (2000). Bowling Alone: The Collapse and Revival of American Community . New York, NY: Simon and Schuster.

Qalati, S. A., Ostic, D., Fan, M., Dakhan, S. A., Vela, E. G., Zufar, Z., et al. (2021). The general public knowledge, attitude, and practices regarding COVID-19 during the lockdown in Asian developing countries. Int. Q. Commun. Health Educ. 2021:272684X211004945. doi: 10.1177/0272684X211004945

Reer, F., Tang, W. Y., and Quandt, T. (2019). Psychosocial well-being and social media engagement: the mediating roles of social comparison orientation and fear of missing out. New Media Soc. 21, 1486–1505. doi: 10.1177/1461444818823719

Ringle, C., Wende, S., and Becker, J. (2015). SmartPLS 3 [software] . Bönningstedt: SmartPLS.

Ringle, C. M., Sarstedt, M., and Straub, D. (2012). A critical look at the use of PLS-SEM in “MIS Quarterly.” MIS Q . 36, iii–xiv. doi: 10.2307/41410402

Roberts, J. A., and David, M. E. (2020). The social media party: fear of missing out (FoMO), social media intensity, connection, and well-being. Int. J. Hum. Comput. Interact. 36, 386–392. doi: 10.1080/10447318.2019.1646517

Salehan, M., and Negahban, A. (2013). Social networking on smartphones: when mobile phones become addictive. Comput. Hum. Behav. 29, 2632–2639. doi: 10.1016/j.chb.2013.07.003

Sarstedt, M., and Cheah, J.-H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review. J. Mark. Anal. 7, 196–202. doi: 10.1057/s41270-019-00058-3

Schinka, K. C., VanDulmen, M. H., Bossarte, R., and Swahn, M. (2012). Association between loneliness and suicidality during middle childhood and adolescence: longitudinal effects and the role of demographic characteristics. J. Psychol. Interdiscipl. Appl. 146, 105–118. doi: 10.1080/00223980.2011.584084

Shi, S., Mu, R., Lin, L., Chen, Y., Kou, G., and Chen, X.-J. (2018). The impact of perceived online service quality on swift guanxi. Internet Res. 28, 432–455. doi: 10.1108/IntR-12-2016-0389

Shoukat, S. (2019). Cell phone addiction and psychological and physiological health in adolescents. EXCLI J. 18, 47–50. doi: 10.17179/excli2018-2006

Shrestha, N. (2021). Factor analysis as a tool for survey analysis. Am. J. Appl. Math. Stat. 9, 4–11. doi: 10.12691/ajams-9-1-2

Stouthuysen, K., Teunis, I., Reusen, E., and Slabbinck, H. (2018). Initial trust and intentions to buy: The effect of vendor-specific guarantees, customer reviews and the role of online shopping experience. Electr. Commer. Res. Appl. 27, 23–38. doi: 10.1016/j.elerap.2017.11.002

Swar, B., and Hameed, T. (2017). “Fear of missing out, social media engagement, smartphone addiction and distraction: moderating role of self-help mobile apps-based interventions in the youth ,” Paper presented at the 10th International Conference on Health Informatics (Porto).

Tangmunkongvorakul, A., Musumari, P. M., Thongpibul, K., Srithanaviboonchai, K., Techasrivichien, T., Suguimoto, S. P., et al. (2019). Association of excessive smartphone use with psychological well-being among University students in Chiang Mai, Thailand. PLoS ONE 14:e0210294. doi: 10.1371/journal.pone.0210294

Tateno, M., Teo, A. R., Ukai, W., Kanazawa, J., Katsuki, R., Kubo, H., et al. (2019). Internet addiction, smartphone addiction, and hikikomori trait in Japanese young adult: social isolation and social network. Front. Psychiatry 10:455. doi: 10.3389/fpsyt.2019.00455

Tefertiller, A. C., Maxwell, L. C., and Morris, D. L. (2020). Social media goes to the movies: fear of missing out, social capital, and social motivations of cinema attendance. Mass Commun. Soc. 23, 378–399. doi: 10.1080/15205436.2019.1653468

Tehseen, S., Qureshi, Z. H., Johara, F., and Ramayah, T. (2020). Assessing dimensions of entrepreneurial competencies: a type II (reflective-formative) measurement approach using PLS-SEM. J. Sustain. Sci. Manage. 15, 108–145.

Tehseen, S., Ramayah, T., and Sajilan, S. (2017). Testing and controlling for common method variance: a review of available methods. J. Manag. Sci. 4, 146–165. doi: 10.20547/jms.2014.1704202

Tonacci, A., Billeci, L., Sansone, F., Masci, A., Pala, A. P., Domenici, C., et al. (2019). An innovative, unobtrusive approach to investigate smartphone interaction in nonaddicted subjects based on wearable sensors: a pilot study. Medicina (Kaunas) 55:37. doi: 10.3390/medicina55020037

Twenge, J. M., and Campbell, W. K. (2019). Media use is linked to lower psychological well-being: evidence from three datasets. Psychiatr. Q. 90, 311–331. doi: 10.1007/s11126-019-09630-7

Vallespín, M., Molinillo, S., and Muñoz-Leiva, F. (2017). Segmentation and explanation of smartphone use for travel planning based on socio-demographic and behavioral variables. Ind. Manag. Data Syst. 117, 605–619. doi: 10.1108/IMDS-03-2016-0089

Van Den Eijnden, R. J., Lemmens, J. S., and Valkenburg, P. M. (2016). The social media disorder scale. Comput. Hum. Behav. 61, 478–487. doi: 10.1016/j.chb.2016.03.038

Whaite, E. O., Shensa, A., Sidani, J. E., Colditz, J. B., and Primack, B. A. (2018). Social media use, personality characteristics, and social isolation among young adults in the United States. Pers. Indiv. Differ. 124, 45–50. doi: 10.1016/j.paid.2017.10.030

Williams, D. (2006). On and off the'net: scales for social capital in an online era. J. Comput. Mediat. Commun. 11, 593–628. doi: 10.1016/j.1083-6101.2006.00029.x

Keywords: smartphone addiction, social isolation, bonding social capital, bridging social capital, phubbing, social media use

Citation: Ostic D, Qalati SA, Barbosa B, Shah SMM, Galvan Vela E, Herzallah AM and Liu F (2021) Effects of Social Media Use on Psychological Well-Being: A Mediated Model. Front. Psychol. 12:678766. doi: 10.3389/fpsyg.2021.678766

Received: 10 March 2021; Accepted: 25 May 2021; Published: 21 June 2021.

Reviewed by:

Copyright © 2021 Ostic, Qalati, Barbosa, Shah, Galvan Vela, Herzallah and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sikandar Ali Qalati, sidqalati@gmail.com ; 5103180243@stmail.ujs.edu.cn ; Esthela Galvan Vela, esthela.galvan@cetys.mx

† ORCID: Dragana Ostic orcid.org/0000-0002-0469-1342 Sikandar Ali Qalati orcid.org/0000-0001-7235-6098 Belem Barbosa orcid.org/0000-0002-4057-360X Esthela Galvan Vela orcid.org/0000-0002-8778-3989 Feng Liu orcid.org/0000-0001-9367-049X

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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The Impact of Social Media on the Mental Health of Adolescents and Young Adults: A Systematic Review

Abderrahman m khalaf.

1 Psychiatry Department, Saudi Commission for Health Specialties, Ministry of Health, Riyadh, SAU

Abdullah A Alubied

Ahmed m khalaf.

2 College of Medicine, Imam Mohammad Ibn Saud Islamic University, Riyadh, SAU

Abdallah A Rifaey

3 College of Medicine, Almaarefa University, Riyadh, SAU

Adolescents increasingly find it difficult to picture their lives without social media. Practitioners need to be able to assess risk, and social media may be a new component to consider. Although there is limited empirical evidence to support the claim, the perception of the link between social media and mental health is heavily influenced by teenage and professional perspectives. Privacy concerns, cyberbullying, and bad effects on schooling and mental health are all risks associated with this population's usage of social media. However, ethical social media use can expand opportunities for connection and conversation, as well as boost self-esteem, promote health, and gain access to critical medical information. Despite mounting evidence of social media's negative effects on adolescent mental health, there is still a scarcity of empirical research on how teens comprehend social media, particularly as a body of wisdom, or how they might employ wider modern media discourses to express themselves. Youth use cell phones and other forms of media in large numbers, resulting in chronic sleep loss, which has a negative influence on cognitive ability, school performance, and socio-emotional functioning. According to data from several cross-sectional, longitudinal, and empirical research, smartphone and social media use among teenagers relates to an increase in mental distress, self-harming behaviors, and suicidality. Clinicians can work with young people and their families to reduce the hazards of social media and smartphone usage by using open, nonjudgmental, and developmentally appropriate tactics, including education and practical problem-solving.

Introduction and background

Humans are naturally social species that depend on the companionship of others to thrive in life. Thus, while being socially linked with others helps alleviate stress, worry, and melancholy, a lack of social connection can pose major threats to one's mental health [ 1 ]. Over the past 10 years, the rapid emergence of social networking sites like Facebook, Twitter, Instagram, and others has led to some significant changes in how people connect and communicate (Table 1 ). Over one billion people are currently active users of Facebook, the largest social networking website, and it is anticipated that this number will grow significantly over time, especially in developing countries. Facebook is used for both personal and professional interaction, and its deployment has had a number of positive effects on connectivity, idea sharing, and online learning [ 2 ]. Furthermore, the number of social media users globally in 2019 was 3.484 billion, a 9% increase year on year [ 3 ].

Mental health is represented as a state of well-being in which individuals recognize their potential, successfully navigate daily challenges, perform effectively at work, and make a substantial difference in the lives of others [ 4 ]. There is currently debate over the benefits and drawbacks of social media on mental health [ 5 ]. Social networking is an important part of safeguarding our mental health. Mental health, health behavior, physical health, and mortality risk are all affected by the quantity and quality of social contacts [ 5 ].

Social media use and mental health may be related, and the displaced behavior theory could assist in clarifying why. The displaced behavior hypothesis is a psychology theory that suggests people have limited self-control and, when confronted with a challenging or stressful situation, may engage in behaviors that bring instant gratification but are not in accordance with their long-term objectives [ 6 ]. In addition, when people are unable to deal with stress in a healthy way, they may act out in ways that temporarily make them feel better but ultimately harm their long-term goals and wellness [ 7 , 8 ]. In the 1990s, social psychologist Roy Baumeister initially suggested the displaced behavior theory [ 9 ]. Baumeister suggested that self-control is a limited resource that can be drained over time and that when self-control resources are low, people are more likely to engage in impulsive or self-destructive conduct [ 9 ]. This can lead to a cycle of bad behaviors and outcomes, as individuals may engage in behaviors that bring short respite but eventually add to their stress and difficulties [ 9 ]. According to the hypothetical terms, those who participate in sedentary behaviors, including social media, engage in fewer opportunities for in-person social interaction, both of which have been demonstrated to be protective against mental illnesses [ 10 ]. Social theories, on the other hand, discovered that social media use influences mental health by affecting how people interpret, maintain, and interact with their social network [ 4 ].

Numerous studies on social media's effects have been conducted, and it has been proposed that prolonged use of social media sites like Facebook may be linked to negative manifestations and symptoms of depression, anxiety, and stress [ 11 ]. A distinct and important time in a person's life is adolescence. Additionally, risk factors such as family issues, bullying, and social isolation are readily available at this period, and it is crucial to preserve social and emotional growth. The growth of digital technology has affected numerous areas of adolescent lives. Nowadays, teenagers' use of social media is one of their most apparent characteristics. Being socially connected with other people is a typical phenomenon, whether at home, school, or a social gathering, and adolescents are constantly in touch with their classmates via social media accounts. Adolescents are drawn to social networking sites because they allow them to publish pictures, images, and videos on their platforms. It also allows teens to establish friends, discuss ideas, discover new interests, and try out new kinds of self-expression. Users of these platforms can freely like and comment on posts as well as share them without any restrictions. Teenagers now frequently post insulting remarks on social media platforms. Adolescents frequently engage in trolling for amusement without recognizing the potentially harmful consequences. Trolling on these platforms focuses on body shaming, individual abilities, language, and lifestyle, among other things. The effects that result from trolling might cause anxiety, depressive symptoms, stress, feelings of isolation, and suicidal thoughts. The authors explain the influence of social media on teenage well-being through a review of existing literature and provide intervention and preventative measures at the individual, family, and community levels [ 12 ].

Although there is a "generally correlated" link between teen social media use and depression, certain outcomes have been inconsistent (such as the association between time spent on social media and mental health issues), and the data quality is frequently poor [ 13 ]. Browsing social media could increase your risk of self-harm, loneliness, and empathy loss, according to a number of research studies. Other studies either concluded that there is no harm or that some people, such as those who are socially isolated or marginalized, may benefit from using social media [ 10 ]. Because of the rapid expansion of the technological landscape in recent years, social media has become increasingly important in the lives of young people. Social networking has created both enormous new challenges and interesting new opportunities. Research is beginning to indicate how specific social media interactions may impair young people's mental health [ 14 ]. Teenagers could communicate with one another on social media platforms, as well as produce, like, and share content. In most cases, these individuals are categorized as active users. On the other hand, teens can also use social media in a passive manner by "lurking" and focusing entirely on the content that is posted by others. The difference between active and passive social media usage is sometimes criticized as a false dichotomy because it does not necessarily reveal whether a certain activity is goal-oriented or indicative of procrastination [ 15 ]. However, the text provides no justification for why this distinction is wrong [ 16 ]. For instance, one definition of procrastination is engaging in conversation with other people to put off working on a task that is more important. The goal of seeing the information created by other people, as opposed to participating with those same individuals, may be to keep up with the lives of friends. One of the most important distinctions that can be made between the various sorts is whether the usage is social. When it comes to understanding and evaluating all these different applications of digital technology, there are a lot of obstacles to overcome. Combining all digital acts into a single predictor of pleasure would, from both a philosophical and an empirical one, invariably results in a reduction in accuracy [ 17 ].

Methodology

This systematic review was carried out and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and standard practices in the field. The purpose of this study was to identify studies on the influence of technology, primarily social media, on the psychosocial functioning, health, and well-being of adolescents and young adults.

The MEDLINE bibliographical database, PubMed, Google Scholar, CINAHL (Cumulative Index to Nursing and Allied Health Literature), and Scopus were searched between 1 January 2000 and 30 May 2023. Social media AND mental health AND adolescents AND young adults were included in the search strategy (impact or relation or effect or influence).

Two researchers (AK and AR) separately conducted a literature search utilizing the search method and evaluated the inclusion eligibility of the discovered papers based on their titles and abstracts. Then, the full texts of possibly admissible publications were retrieved and evaluated for inclusion. Disagreements among the researchers were resolved by debate and consensus.

The researchers included studies that examined the impact of technology, primarily social media, on the psychosocial functioning, health, and well-being of adolescents and young adults. We only considered English publications, reviews, longitudinal surveys, and cross-sectional studies. We excluded studies that were not written in English, were not comparative, were case reports, did not report the results of interest, or did not list the authors' names. We also found additional articles by looking at the reference lists of the retrieved articles.

Using a uniform form, the two researchers (AK and AA) extracted the data individually and independently. The extracted data include the author, publication year, study design, sample size and age range, outcome measures, and the most important findings or conclusions.

A narrative synthesis of the findings was used to analyze the data, which required summarizing and presenting the results of the included research in a logical and intelligible manner. Each study's key findings or conclusions were summarized in a table.

Study Selection

A thorough search of electronic databases, including PubMed, Embase, and Cochrane Library, was done from 1 January 2000 to 20 May 2023. Initial research revealed 326 potentially relevant studies. After deleting duplicates and screening titles and abstracts, the eligibility of 34 full-text publications was evaluated. A total of 23 papers were removed for a variety of reasons, including non-comparative studies, case reports, and studies that did not report results of interest (Figure ​ (Figure1 1 ).

PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses.

This systematic review identified 11 studies that examined the connection between social media use and depression symptoms in children and adolescents. The research demonstrated a modest but statistically significant association between social media use and depression symptoms. However, this relationship's causality is unclear, and additional study is required to construct explanatory models and hypotheses for inferential studies [ 18 ].

Additional research studied the effects of technology on the psychosocial functioning, health, and well-being of adolescents and young adults. Higher levels of social media usage were connected with worse mental health outcomes [ 19 ], and higher levels of social media use were associated with an increased risk of internalizing and externalizing difficulties among adolescents, especially females [ 20 ]. The use of social media was also connected with body image problems and disordered eating, especially among young women [ 21 ], and social media may be a risk factor for alcohol consumption and associated consequences among adolescents and young adults [ 22 ].

It was discovered that cyberbullying victimization is connected with poorer mental health outcomes in teenagers, including an increased risk of sadness and anxiety [ 23 ]. The use of social media was also connected with more depressive symptoms and excessive reassurance-seeking, but also with greater popularity and perceived social support [ 24 ], as well as appearance comparisons and body image worries, especially among young women [ 25 ]. Children and adolescents' bedtime media device use was substantially related to inadequate sleep quantity, poor sleep quality, and excessive daytime drowsiness [ 26 ].

Online friends can be a significant source of social support, but in-person social support appears to provide greater protection against persecution [ 27 ]. Digital and social media use offers both benefits and risks to the health of children and adolescents, and an individualized family media use plan can help strike a balance between screen time/online time and other activities, set boundaries for accessing content, promote digital literacy, and support open family communication and consistent media use rules (Tables ​ (Tables2, 2 , ​ ,3) 3 ) [ 28 ].

Does Social Media Have a Positive or Negative Impact on Adolescents and Young Adults?

Adults frequently blame the media for the problems that younger generations face, conceptually bundling different behaviors and patterns of use under a single term when it comes to using media to increase acceptance or a feeling of community [ 29 , 30 ]. The effects of social media on mental health are complex, as different goals are served by different behaviors and different outcomes are produced by distinct patterns of use [ 31 ]. The numerous ways that people use digital technology are often disregarded by policymakers and the general public, as they are seen as "generic activities" that do not have any specific impact [ 32 ]. Given this, it is crucial to acknowledge the complex nature of the effects that digital technology has on adolescents' mental health [ 19 ]. This empirical uncertainty is made worse by the fact that there are not many documented metrics of how technology is used. Self-reports are the most commonly used method for measuring technology use, but they can be prone to inaccuracy. This is because self-reports are based on people's own perceptions of their behavior, and these perceptions can be inaccurate [ 33 ]. At best, there is simply a weak correlation between self-reported smartphone usage patterns and levels that have been objectively verified [ 34 , 35 ].

When all different kinds of technological use are lumped together into a single behavioral category, not only does the measurement of that category contribute to a loss of precision, but the category also contributes to a loss of precision. To obtain precision, we need to investigate the repercussions of a wide variety of applications, ideally guided by the findings of scientific research [ 36 ]. The findings of this research have frequently been difficult to interpret, with many of them suggesting that using social media may have a somewhat negative but significantly damaging impact on one's mental health [ 36 ]. There is a growing corpus of research that is attempting to provide a more in-depth understanding of the elements that influence the development of mental health, social interaction, and emotional growth in adolescents [ 20 ].

It is challenging to provide a succinct explanation of the effects that social media has on young people because it makes use of a range of different digital approaches [ 37 , 38 ]. To utilize and respond to social media in either an adaptive or maladaptive manner, it is crucial to first have a solid understanding of personal qualities that some children may be more likely to exhibit than others [ 39 ]. In addition to this, the specific behaviors or experiences on social media that put teenagers in danger need to be recognized.

When a previous study particularly questioned teenagers in the United States, the authors found that 31% of them believe the consequences are predominantly good, 45% believe they are neither positive nor harmful, and 24% believe they are unfavorable [ 21 ]. Teens who considered social media beneficial reported that they were able to interact with friends, learn new things, and meet individuals who shared similar interests because of it. Social media is said to enhance the possibility of (i) bullying, (ii) ignoring face-to-face contact, and (iii) obtaining incorrect beliefs about the lives of other people, according to those who believe the ramifications are serious [ 21 ]. In addition, there is the possibility of avoiding depression and suicide by recognizing the warning signs and making use of the information [ 40 ]. A common topic that comes up in this area of research is the connection that should be made between traditional risks and those that can be encountered online. The concept that the digital age and its effects are too sophisticated, rapidly shifting, or nuanced for us to fully comprehend or properly shepherd young people through is being questioned, which challenges the traditional narrative that is sent to parents [ 41 ]. The last thing that needs to be looked at is potential mediators of the link between social factors and teenage depression and suicidality (for example, gender, age, and the participation of parents) [ 22 ].

The Dangers That Come With Young Adults Utilizing Social Media

The experiences that adolescents have with their peers have a substantial impact on the onset and maintenance of psychopathology in those teenagers. Peer relationships in the world of social media can be more frequent, intense, and rapid than in real life [ 42 ]. Previous research [ 22 ] has identified a few distinct types of peer interactions that can take place online as potential risk factors for mental health. Being the target of cyberbullying, also known as cyber victimization, has been shown to relate to greater rates of self-inflicted damage, suicidal ideation, and a variety of other internalizing and externalizing issues [ 43 ]. Additionally, young people may be put in danger by the peer pressure that can be found on social networking platforms [ 44 ]. This can take the form of being rejected by peers, engaging in online fights, or being involved in drama or conflict [ 45 ]. Peer influence processes may also be amplified among teenagers who spend time online, where they have access to a wider diversity of their peers as well as content that could be damaging to them [ 46 ]. If young people are exposed to information on social media that depicts risky behavior, their likelihood of engaging in such behavior themselves (such as drinking or using other drugs) may increase [ 22 ]. It may be simple to gain access to online materials that deal with self-harm and suicide, which may result in an increase in the risk of self-harm among adolescents who are already at risk [ 22 ]. A recent study found that 14.8% of young people who were admitted to mental hospitals because they posed a risk to others or themselves had viewed internet sites that encouraged suicide in the two weeks leading up to their admission [ 24 ]. The research was conducted on young people who were referred to mental hospitals because they constituted a risk to others or themselves [ 24 ]. They prefer to publish pictures of themselves on social networking sites, which results in a steady flow of messages and pictures that are often and painstakingly modified to present people in a favorable light [ 24 ]. This influences certain young individuals, leading them to begin making unfavorable comparisons between themselves and others, whether about their achievements, their abilities, or their appearance [ 47 , 48 ].

There is a correlation between higher levels of social networking in comparison and depressed symptoms in adolescents, according to studies [ 25 ]. When determining how the use of technology impacts the mental health of adolescents, it is essential to consider the issue of displacement. This refers to the question of what other important activities are being replaced by time spent on social media [ 49 ]. It is a well-established fact that the circadian rhythms of children and adolescents have a substantial bearing on both their physical and mental development.

However, past studies have shown a consistent connection between using a mobile device before bed and poorer sleep quality results [ 50 ]. These results include shorter sleep lengths, decreased sleep quality, and daytime tiredness [ 50 ]. Notably, 36% of adolescents claim they wake up at least once over the course of the night to check their electronic devices, and 40% of adolescents say they use a mobile device within five minutes of going to bed [ 25 ]. Because of this, the impact of social media on the quality of sleep continues to be a substantial risk factor for subsequent mental health disorders in young people, making it an essential topic for the continuation of research in this area [ 44 ].

Most studies that have been conducted to investigate the link between using social media and experiencing depression symptoms have concentrated on how frequently and problematically people use social media [ 4 ]. Most of the research that was taken into consideration for this study found a positive and reciprocal link between the use of social media and feelings of depression and, on occasion, suicidal ideation [ 51 , 52 ]. Additionally, it is unknown to what extent the vulnerability of teenagers and the characteristics of substance use affect this connection [ 52 ]. It is also unknown whether other aspects of the environment, such as differences in cultural norms or the advice and support provided by parents, have any bearing on this connection [ 25 ]. Even if it is probable that moderate use relates to improved self-regulation, it is not apparent whether this is the result of intermediate users having naturally greater self-regulation [ 25 ].

Gains From Social Media

Even though most of the debate on young people and new media has centered on potential issues, the unique features of the social media ecosystem have made it feasible to support adolescent mental health in more ways than ever before [ 39 ]. Among other benefits, using social media may present opportunities for humor and entertainment, identity formation, and creative expression [ 53 ]. More mobile devices than ever before are in the hands of teenagers, and they are using social media at never-before-seen levels [ 27 ]. This may not come as a surprise given how strongly young people are drawn to digital devices and the affordances they offer, as well as their heightened craving for novelty, social acceptance, and affinity [ 27 ]. Teenagers are interacting with digital technology for longer periods of time, so it is critical to comprehend the effects of this usage and use new technologies to promote teens' mental health and well-being rather than hurt it [ 53 ]. Considering the ongoing public discussion, we should instead emphasize that digital technology is neither good nor bad in and of itself [ 27 ].

One of the most well-known benefits of social media is social connection; 81% of students say it boosts their sense of connectedness to others. Connecting with friends and family is usually cited by teenagers as the main benefit of social media, and prior research typically supports the notion that doing so improves people's well-being. Social media can be used to increase acceptance or a feeling of community by providing adolescents with opportunities to connect with others who share their interests, beliefs, and experiences [ 29 ]. Digital media has the potential to improve adolescent mental health in a variety of ways, including cutting-edge applications in medical screening, treatment, and prevention [ 28 ]. In terms of screening, past research has suggested that perusing social media pages for signs of melancholy or drug abuse may be viable. More advanced machine-learning approaches have been created to identify mental disease signs on social media, such as depression, post-traumatic stress disorder, and suicidality. Self-report measures are used in most studies currently conducted on adolescent media intake. It is impossible to draw firm conclusions on whether media use precedes and predicts negative effects on mental health because research has only been conducted once. Adults frequently blame the media for the problems that younger generations face [ 30 ]. Because they are cyclical, media panics should not just be attributed to the novel and the unknown. Teenagers' time management, worldview, and social interactions have quickly and dramatically changed as a result of technology. Social media offers a previously unheard-of opportunity to spread awareness of mental health difficulties, and social media-based health promotion programs have been tested for a range of cognitive and behavioral health conditions. Thanks to social media's instant accessibility, extensive possibilities, and ability to reach remote areas, young people with mental health issues have exciting therapy options [ 54 ]. Preliminary data indicate that youth-focused mental health mobile applications are acceptable, but further research is needed to assess their usefulness and effectiveness. Youth now face new opportunities and problems as a result of the growing significance of digital media in their life. An expanding corpus of research suggests that teenagers' use of social media may have an impact on their mental health. But more research is needed [ 18 ] considering how swiftly the digital media landscape is changing.

Conclusions

In the digital era, people efficiently employ technology; it does not "happen" to them. Studies show that the average kid will not be harmed by using digital technology, but that does not mean there are no situations where it could. In this study, we discovered a connection between social media use and adolescent depression. Since cross-sectional research represents the majority, longitudinal studies are required. The social and personal life of young people is heavily influenced by social media. Based on incomplete and contradictory knowledge on young people and digital technology, professional organizations provide guidance to parents, educators, and institutions. If new technologies are necessary to promote social interaction or develop digital and relational (digitally mediated) skills for growing economies, policies restricting teen access to them may be ineffective. The research on the impact of social media on mental health is still in its early stages, and more research is needed before we can make definitive recommendations for parents, educators, or institutions. Reaching young people during times of need and when assistance is required is crucial for their health. The availability of various friendships and services may improve the well-being of teenagers.

The authors have declared that no competing interests exist.

Does Social Media Contribute to Economic Growth?

• Published: 16 June 2023

Cite this article

• Jacques Simon Song   ORCID: orcid.org/0000-0002-8944-1982 1 ,
• Georges Ngnouwal Eloundou   ORCID: orcid.org/0000-0001-8187-5615 2 ,
• Fabrice Bitoto Ewolo   ORCID: orcid.org/0000-0002-8134-6745 2 &
• Blaise Ondoua Beyene   ORCID: orcid.org/0000-0002-7985-4644 2  

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This paper assesses the effects of social media on economic growth in a sample of 177 countries. The originality of the article lies in highlighting the direct and indirect effects of social media externalities on the process of economic growth. Unlike existing works, we study this nexus from a global perspective using a cross-sectional model. To achieve this, we specify and estimate a panel data model using ordinary least squares (OLS) methods over the period 2012–2019. The robustness of the results has been proven by using Poisson pseudo maximum likehood (PPML) and the quantile regression (QR). The results show that social media as measured by Facebook penetration improves economic growth. Furthermore, the results of the mediation analysis show that the effect of social media on the economic growth is mediated by financial development, human capital, information and communication technologies (ICT), electricity consumption, and political stability. We suggest, in addition to the quantitative and qualitative strengthening of the telecommunication infrastructure, a rational use of social media for a better consolidation of economic growth.

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Data availability.

Data will be made available on request.

Statista: https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/

and TNW: https://thenextweb.com/tech/2019/06/11/most-popular-social-media-networks-year-animated/

See Biagi ( 2013 ) for further literature.

For more details, see Youssef and M'henni ( 2004 ).

Ackland, R., & Tanaka, K. (2016). Development impact of social media. World Development Report 2016: Internet for Development.

Aghion, P., & Howitt, P. (1992). A model of growth through creative destruction. Econometrica, 60 , 323–351.

Article   Google Scholar  

Aghion, P., Howitt, P., Howitt, P. W., Brant-Collett, M., & García-Penalosa, C. (1998). Endogenous growth theory . MIT Press.

Google Scholar  

Akerlof, G. A. (1970). The market for “lemons”: Quality uncertainty and the market mechanism. The Quarterly Journal of Economics, 84 (3), 488–500.

Alshubiri, F., Jamil, S. A., & Elheddad, M. (2019). The impact of ICT on financial development: Empirical evidence from the Gulf Cooperation Council countries. International Journal of Engineering Business Management, 11 , 1–14.

Amrouche, N., & Hababou, M. (2022). Role of social media in socioeconomic development : Case of Facebook. Review of Economic Analysis , 14 (1).

Ang, J. B. (2013). Are modern financial systems shaped by state antiquity? Journal of Banking & Finance, 37 (11), 4038–4058.

Appiah-Otoo, I., & Song, N. (2021). The impact of ICT on economic growth-Comparing rich and poor countries. Telecommunications Policy, 45 (2), 102082.

Aregbeshola, R. A. (2022). Interplay of poverty, remittances and human capital development: Panel evidence from selected Sub‐Saharan African countries.  International Migration .

Arrow, K. (1962). The economic implications of learning by doing. Review of Economic Studies, June .

Asare, P. V.-S. (2020). The impact of social media on economic growth: Empirical evidence of Facebook, Youtube, Twitter and Pinterest. International Journal of Business, Economics and Management, 7 (4), 222–238.

Asongu, S. A., & Odhiambo, N. M. (2019). Governance and social media in African countries: An empirical investigation. Telecommunications Policy, 43 (5), 411–425.

Asongu, S.-A. (2013). How has mobile phone penetration stimulated financial development in Africa? Journal of African Business, 14 (1), 7–18.

Asongu, S. A., Orim, S.-M. I., & Nting, R. T. (2019a). Terrorism and social media : Global evidence. Journal of Global Information Technology Management, 22 (3), 208–228.

Asongu, S. A., Uduji, J. I., & Okolo-Obasi, E. N. (2019b). Homicide and social media : Global empirical evidence. Technology in Society, 59 , 101188.

Asongu, S., Nwachukwu, J., Orim, S.-M., & Pyke, C. (2019c). Crime and social media. Information Technology & People .

Auty, R. M. (1994). Industrial policy reform in six large newly industrializing countries: The resource curse thesis. World Development, 22 (1), 11–26.

Avom, D., & Malah, F. Y. (2022). Social media and happiness nexus in the millennial generation. Telecommunications Policy , 102368.

Arezki, R., & Van Der Ploeg, F. (2011). Do natural resources depress income per capita? Review of Development Economics, 15 (3), 504–521.

Barajas, A., Gapen, M. T., Chami, R., Montiel, P., & Fullenkamp, C. (2009). Do workers’ remittances promote economic growth? IMF Staff Paper, 52 (1), 55–82.

Balassa, B. (1967). Trade creation and trade diversion in the European Common Market. The Economic Journal, 77 (305), 1–21.

Biagi, F. (2013). ICT and Productivity : A Review of the Literature .

Błachnio, A., Przepiorka, A., Benvenuti, M., Mazzoni, E., & Seidman, G. (2019). Relations between Facebook intrusion, Internet addiction, life satisfaction, and self-esteem : A study in Italy and the USA. International Journal of Mental Health and Addiction, 17 (4), 793–805.

Błachnio, A., Przepiorka, A., Senol-Durak, E., Durak, M., & Sherstyuk, L. (2017). The role of personality traits in Facebook and Internet addictions : A study on Polish, Turkish, and Ukrainian samples. Computers in Human Behavior, 68 , 269–275.

Bortree, D. S., & Seltzer, T. (2009). Dialogic strategies and outcomes : An analysis of environmental advocacy groups’ Facebook profiles. Public Relations Review, 35 (3), 317–319.

Boungou, W., & Yatié, A. (2022). The impact of the Ukraine-Russia war on world stock market returns. Economics Letters, 215 , 110516.

Bourguignon, F., & Morrisson, C. (2002). Inequality among world citizens: 1820–1992. American Economic Review, 92 (4), 727–744.

Brem, A., Viardot, E., & Nylund, P. A. (2021). Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives? Technological Forecasting and Social Change, 163 , 120451.

Buchanan, J. M., & Stubblebine, W. C. (1962). Externality. Classic Papers in Natural Resource Economics.

Chen, F. W., Fu, L. W., Wang, K., Tsai, S.-B., & Su, C.-H. (2018). The influence of entrepreneurship and social networks on economic growth. Sustainability, 10 , 2510.

Cheng, C.-Y., Chien, M.-S., & Lee, C.-C. (2020). ICT diffusion, financial development, and economic growth: An international cross-country analysis. Economic Modelling, 94 , 662–671.

Chong, A., & Valdivia, M. (2017). Social media instruments and the promotion of financial inclusion in Peruvian rural areas. Working paper , 2017–15.

Ciccone, A., & Jarociński, M. (2010). Determinants of economic growth: will data tell? American Economic Journal: Macroeconomics, 2 (4), 222–246.

Coase, R. H. (1937). Some notes on monopoly price. The Review of Economic Studies, 5 (1), 17–31.

Coase, R. H. (1960). Law economics. Journal of Law and Economics, 3 , 1–44.

Crilley, R., & Gillespie, M. (2019). What to do about social media? Politics, populism and journalism. Journalism, 20 (1), 173–176.

Cui, Z. (2021). Analysis of the impact of social media on the economy. 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021) , 3062‑3066.

Cullison, W. (1993). Public investment and economic growth. FRB Richmond Economic Quarterly, 79 (4), 19–33.

Czarnecka, M., Kinelski, G., Stefanska, M., Grzesiak, M., & Budka, B. (2022). Social media engagement in shaping green energy business models. Energies, 15 , 1727.

Czernich, N., Falck, O., Kretschmer, T., & Woessmann, L. (2011). Broadband infrastructure and economic growth. The Economic Journal, 121 (552), 505–532.

Deaton, A. (2005). Measuring poverty in a growing world (or measuring growth in a poor world). Review of Economics and Statistics, 87 (1), 1–19.

Deaton, A. (2010). Instruments, randomization, and learning about development. Journal of Economic Literature, 48 (2), 424–455.

Dedrick, J., Kraemer, K. L., & Shih, E. (2013). Information technology and productivity in developed and developing countries. Journal of Management Information Systems, 30 (1), 97–122.

Dell’Anno, R., Rayna, T., & Solomon, O. H. (2016). Impact of social media on economic growth–evidence from social media. Applied Economics Letters, 23 (9), 633–636.

DeNardis, L., & Hackl, A. M. (2015). Internet governance by social media platforms. Telecommunications Policy, 39 (9), 761–770.

Ding, C., & Lichtenberg, E. (2011). Land and urban economic growth in China. Journal of Regional Science, 51 (2), 299–317.

Dong, T., Liang, C., & He, X. (2017). Social media and internet public events. Telematics and Informatics, 34 (3), 726–739.

Donou-Adonsou, F. (2019). Technology, education, and economic growth in Sub-Saharan Africa. Telecommunications Policy, 43 (4), 353–360.

Easterly, W. (1990). Endogenous growth in developing countries with government-induced distortions. Adjustment Lending Revisited . The World Bank.

Edosomwan, S., Prakasan, S. K., Kouame, D., Watson, J., & Seymour, T. (2011). The history of social media and its impact on business. Journal of Applied Management and Entrepreneurship, 16 (3), 79.

Enikolopov, R., Petrova, M., & Sonin, K. (2018). Social media and corruption. American Economic Journal: Applied Economics, 10 (1), 150–174.

Feng, Y. (1997). Democracy, political stability and economic growth. British Journal of Political Science, 27 (3), 391–418.

Fischer, S. (2003). Globalization and its challenges. American Economic Review, 93 (2), 1–30.

Foster, D., Linehan, C., Lawson, S., & Kirman, B. (2011). Power ballads : Deploying aversive energy feedback in social media. In CHI’11 Extended Abstracts on Human Factors in Computing Systems (p. 2221‑2226).

Gary, L. A. (2007). Media’s impact on educational policies and practices: Political spectacle and social control. Peabody Journal of Education, 82 (1), 103–120.

Gauss, C. F. (1809). Theory of the motion of the heavenly bodies moving about the sun in conic sections. Werke, 7 , 1–280.

Gordon, R. J. (2012). Is US economic growth over ? Faltering innovation confronts the six headwinds . National Bureau of Economic Research.

Greenhow, C., & Lewin, C. (2016). Social media and education : Reconceptualizing the boundaries of formal and informal learning. Learning, Media and Technology, 41 (1), 6–30.

Grossman, G. M., & Helpman, E. (1991). Innovation and growth in the global economy. MIT Press, Cambridge, MA.

Gurley, J. G., & Shaw, E. S. (1960). Money in a theory of finance . Brookings Institutions, Washington, DC.

Habibi, F., & Zabardast, M. A. (2020). Digitalization, education and economic growth : A comparative analysis of Middle East and OECD countries. Technology in Society, 63 , 101370.

Heston, A. (1994). A brief review of some problems in using national accounts data in level of output comparisons and growth studies. Journal of Development Economics, 44 (1), 29–52.

Hong, S. (2012). Online news on Twitter : Newspapers’ social media adoption and their online readership. Information Economics and Policy, 24 (1), 69–74.

Horbach, J., & Rammer, C. (2020). Circular economy innovations, growth and employment at the firm level : Empirical evidence from Germany. Journal of Industrial Ecology, 24 (3), 615–625.

Howitt, P. (2010). Endogenous growth theory. In Economic growth (p. 68‑73). Springer.

Iamsiraroj, S. (2016). The foreign direct investment–economic growth nexus. International Review of Economics & Finance, 42 , 116–133.

Imai, K. S., Gaiha, R., Ali, A., & Kaicker, N. (2014). Remittances, growth and poverty: New evidence from Asian countries. Journal of Policy Modeling, 36 (3), 524–538.

Indaco, A. (2020). From twitter to GDP: Estimating economic activity from social media. Regional Science and Urban Economics, 85 , 103591.

Jane, M., Hagger, M., Foster, J., Ho, S., & Pal, S. (2018). Social media for health promotion and weight management : A critical debate. BMC Public Health, 18 (1), 1–7.

Jha, C. K., & Kodila-Tedika, O. (2020). Does social media promote democracy ? Some empirical evidence. Journal of Policy Modeling, 42 (2), 271–290.

Jorgenson, D. W., Ho, M. S., & Stiroh, K. J. (2008). A retrospective look at the US productivity growth resurgence. Journal of Economic Perspectives, 22 (1), 3–24.

Jorgenson, D. W., & Vu, K. (2005). Information technology and the world economy. The Scandinavian Journal of Economics, 107 (4), 631–650.

Kamruzzaman, M. M. (2022). Impact of social media on geopolitics and economic growth: Mitigating the risks by developing artificial intelligence and cognitive computing tools. Computational Intelligence and Neuroscience . https://doi.org/10.1155/2022/7988894

Keller, W. (1996). Absorptive capacity: On the creation and acquisition of technology in development. Journal of Development Economics, 49 (1), 199–227.

Kiuru, J., & Inkinen, T. (2019). E-capital and economic growth in European metropolitan areas: Applying social media messaging in technology-based urban analysis. Journal of Urban Technology, 26 (2), 67–88.

Knell, M., & Rojec, M. (2007). The economics of knowledge and knowledge accumulation: A literature survey. Understanding the Relationship between Knowledge and Competitiveness in the Enlarging EU, 35 , 551–582.

Kodila-Tedika, O. (2021). Natural resource governance : Does social media matter? Mineral Economics, 34 (1), 127–140.

Koenker, R., & Bassett Jr, G. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society , 33‑50.

Kumar, A., & Ayedee, N. (2018). Social media tools for business growth of SMEs. Journal of Management (JOM), 5 (3), 137–142.

Kumara, K. S. V., & Devi, V. R. (2014). Social media in financial services – A theoretical perspective. Procedia Economics and Finance, 11 , 306–313.

Langley, P., & Leyshon, A. (2017). Platform capitalism: The inter mediation and capitalization of digital economic circulation. Finance and Society, 3 (1), 11–31.

Le, T.-H., & Quah, E. (2018). Income level and the emissions, energy, and growth nexus : Evidence from Asia and the Pacific. International Economics, 156 , 193–205.

Legendre. (1805). On least squares [Translated from the French by Professor Henry A. Ruger and Professor Helen M. Walker. New York City: Teachers College, Columbia University.

Liu, X., & Liu, Z. (2022). Exploring the impact of media discourse on social perceptions towards biomass energy utilization in China. Energy Strategy Reviews, 42 , 100896.

Lucas Jr, R. E. (2015). Human capital and growth. American Economic Review, 105 (5), 85–88.

Lucas Jr, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22 , 3–42.

Markovic, D.-S., Zivkovic, D., Cvetkovic, D., & Popovic, R. (2012). Impact of nanotechnology advances in ICT on sustainability and energy efficiency. Renewable and Sustainable Energy Reviews, 16 , 2966–2972.

McKee, R. (2013). Ethical issues in using social media for health and health care research. Health Policy, 110 (2–3), 298–301.

McKinnon, R. I. (1973). Money and capital in economic development . Washington, DC: Brookings Institution.

Mignamissi, D., & Kuete, Y. F. M. (2021). Resource rents and happiness on a global perspective: The resource curse revisited. Resources Policy, 71 , 101994.

Modgil, S., Dwivedi, Y. K., Rana, N. P., Gupta, S., & Kamble, S. (2022). Has Covid-19 accelerated opportunities for digital entrepreneurship? An Indian perspective. Technological Forecasting and Social Change, 175 , 121415.

Motta, V. (2019). Estimating Poisson pseudo-maximum-likelihood rather than log-linear model of a log-transformed dependent variable. RAUSP Management Journal, 54 , 508–518.

Myovella, G., Karacuka, M., & Haucap, J. (2020). Digitalization and economic growth : A comparative analysis of Sub-Saharan Africa and OECD economies. Telecommunications Policy, 44 (2), 101856.

Nchofoung, T. N. (2020). Determinants of ethical behavior in social networks in Cameroon : Case of group «Kerel Kongossa!!!!» on Facebook. Review of Applied Socio-Economic Research, 19 (1), 61–74.

Ndoya, H., Okere, D., Belomo, M. L., & Atangana, M. (2023). Does ICTs decrease the spread of informal economy in Africa? Telecommunications Policy, 47 (2), 102485.

Nguimkeu, P., & Tadadjeu, S. (2021). Why is the number of COVID-19 cases lower than expected in Sub-Saharan Africa ? A cross-sectional analysis of the role of demographic and geographic factors. World Development, 138 , 105251.

Nguyen, T. T., Pham, T. A. T., & Tram, H. T. X. (2020). Role of information and communication technologies and innovation in driving carbon emissions and economic growth in selected G-20 countries. Journal of Environmental Management, 261 , 110162.

Niebel, T. (2018). ICT and economic growth–Comparing developing, emerging and developed countries. World Development, 104 , 197–211.

Olanrewaju, A. S. T., Hossain, M. A., Whiteside, N., & Mercieca, P. (2020). Social media and entrepreneurship research: A literature review. International Journal of Information Management, 50 , 90–110.

Ouedraogo, R., Sourouema, W. S., & Sawadogo, H. (2021). Aid, growth and institutions in Sub-Saharan Africa : New insights using a multiple growth regime approach. The World Economy, 44 (1), 107–142.

Oulton, N. (2002). ICT and productivity growth in the United Kingdom. Oxford Review of Economic Policy, 18 (3), 363–379.

Panic, N., Leoncini, E., De Belvis, G., Ricciardi, W., & Boccia, S. (2013). Evaluation of the endorsement of the preferred reporting items for systematic reviews and meta-analysis (PRISMA) statement on the quality of published systematic review and meta-analyses. European Journal of Public Health , 23 (1). https://doi.org/10.1371/journal.pone.0083138

Papachristou, I. A. (2013). The social media in the economy, Universitat Politecnica de Catalunya, Barcelona, Spain, 2013.

Peprah, J. A., Kwesi Ofori, I., & Asomani, A. N. (2019). Financial development, remittances and economic growth : A threshold analysis. Cogent Economics & Finance, 7 (1), 1625107.

Poier, S. (2021). Can Facebook likes predict the purchase probability of electricity storage systems? Social Network Analysis and Mining, 11 (1), 1–20.

Rahman, R. U., Syed, M. A. S., El-Gohary, H., Abbas, M., Khalil, S. H., Saad, A. A., & Fahad, S. (2020). Social media adoption and financial sustainability: Learned lessons from developing countries. Sustainability, 12 , 10616.

Rayna, T., & Striukova, L. (2010). Web 2.0 is cheap: Supply exceeds demand. Prometheus , 28 (3), 267‑285.

Romer, P. M. (1986). Increasing returns and long-run growth. Journal of Political Economy, 94 (5), 1002–1037.

Rostow, W. (1961). The stages of economic growth: A non-communist manifesto . Cambridge University Press.

Roy, S. (2014). Media development and political stability: An analysis of Sub-Saharan Africa. The Journal of Developing Areas, 48 (2), 255–273.

Sala-i-Martin, X. (2002a). The disturbing “rise” of global income inequality. NBER Working Paper 8904.

Sala-i-Martin, X. (2002b). The world distribution of income (estimated from individual country distributions). NBER Working Paper 8933.

Santos, S. C., Liguori, E. W., & Garvey, E. (2023). How digitalization reinvented entrepreneurial resilience during COVID-19. Technological Forecasting and Social Change, 189 , 122398.

Schmalz, D. L., Colistra, C. M., & Evans, K. E. (2015). Social media sites as a means of coping with a threatened social identity. Leisure Sciences, 37 (1), 20–38.

Sequeira, T. N. (2021). Inflation, economic growth and education expenditure. Economic Modelling, 99 , 105475.

Sharif, A., Mishra, S., Sinha, A., Jiao, Z., Shahbaz, M., & Afshan, S. (2020). The renewable energy consumption-environmental degradation nexus in Top-10 polluted countries: Fresh insights from quantile-on-quantile regression approach. Renewable Energy, 150 , 670–690.

Sharma, D. (2016). Nexus between financial inclusion and economic growth: Evidence from the emerging Indian economy. Journal of Financial Economic Policy, 8 (1), 13–36.

Silva, J. S., & Tenreyro, S. (2006). The log of gravity. The Review of Economics and Statistics, 88 (4), 641–658.

Solomon, E. M., & Klyton, A. V. (2020). The impact of digital technology usage on economic growth in Africa. Utilities Policy, 67 , 101104.

Solow, R. M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70 (1), 65–94.

Statista. (2022). Biggest social media platforms 2022 . Statista. https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/

Stijns, J.-P. C. (2005). Natural resource abundance and economic growth revisited. Resources Policy, 30 (2), 107–130.

Talla, F. D. N. D., Ningaye, P., & Fotso, K. P. F. (2019). How does social media affect economic growth? An empirical study on African countries. The Empirical Economics Letters, 18 (6), 663–669.

Tetlock, P. C. (2015). The role of media in finance. Handbook of Media Economics, 1 , 701–721.

Tsani, S., Paroussos, L., Fragiadakis, C., Charalambidis, I., & Capros, P. (2013). Female labour force participation and economic growth in the South Mediterranean countries. Economics Letters, 120 (2), 323–328.

United Nations. (2015). Primer 5: Exploring social media’s role in development .

Van Ark, B., O’Mahoney, M., & Timmer, M. P. (2008). The productivity gap between Europe and the United States : Trends and causes. Journal of Economic Perspectives, 22 (1), 25–44.

Vu, K. M. (2011). ICT as a source of economic growth in the information age: Empirical evidence from the 1996–2005 period. Telecommunications Policy, 35 (4), 357–372.

Williamson, O. E. (1981). The economics of organization: The transaction cost approach. American Journal of Sociology, 87 (3), 548–577.

Wright, D. K., & Hinson, M. D. (2010). An analysis of new communications media use in public relations : Results of a five-year trend study. Public Relations Journal, 4 (2), 1–27.

World Bank. (2022). World Development Report 2022; Informe sobre el desarrollo mundial 2022; Rapport sur le développement dans le monde 2022 : Finance for an Equitable Recovery; Finanzas al servicio de la recuperación equitativa; La finance au service d’une reprise équitable. © Washington, DC: World Bank.

World Development Indicators (WGI). (2019). Database of indicators of development of World Bank . Washington, D.C.

World Digital Report. (2022). Digital 2022: Global overview report—DataReportal – global digital insights. https://datareportal.com/reports/digital-2022-global-overview-report

Xia, C., Qamruzzaman, M., & Adow, A. H. (2022). An asymmetric nexus: Remittance-led human capital development in the top 10 remittance-receiving countries: Are FDI and gross capital formation critical for a road to sustainability? Sustainability, 14 (6), 3703.

Youssef, A. B., & M’henni, H. (2004). Les effets des technologies de l’information les effets des technologies de l’information économique : Le cas de la Tunisie. Region Et Developpement, 19 , 131–150.

Zallé, O. (2019). Natural resources and economic growth in Africa : The role of institutional quality and human capital. Resources Policy, 62 , 616–624.

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The authors would like to sincerely thank the Editor, the different anonymous referees of Journal of the Knowledge Economy, whose comments, reviews, and suggestions have substantially improved the first version of this article. They also thank the extraordinary editing work and Désiré Avom and Flora Yselle Malah for sharing the database on Facebook penetration.

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Song, J.S., Ngnouwal Eloundou, G., Bitoto Ewolo, F. et al. Does Social Media Contribute to Economic Growth?. J Knowl Econ (2023). https://doi.org/10.1007/s13132-023-01419-1

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How to Write a Thesis Statement About Social Media

Writing a thesis statement requires good research and creating a concise yet very informative point. Writing one about social media is no different. Due to the scope of the study, the information to gather and discuss is even more expansive.

• What is a Social Media Thesis Statement?

Social Media Essay Outline

Social media essay titles, thesis on social media, argumentative essay on social media, social networking thesis statement, summing up the thesis statement.

Social media uses mobile technologies that are Internet-based to run communication across different parts of the world. It gives  people  worldwide the opportunity to communicate and socialize, unlike past means of communication which were only one-way.

The evolution of technology has made social media more efficient and prevalent than any other form of communication today. With technology’s continued evolution, social media will continue to evolve, and so will topics and thesis statements about it. A good  thesis statement about social media  must meet some requirements, and we will look through most of them.

What is a Social Media Thesis Statement Supposed to Look Like?

Before understanding how a  thesis statement on social media  should look like, we should familiarize ourselves with what thesis statements properly entail. A thesis statement is typically written in the introductory portion of a paper.

It provides an apt and rapid summary of the main point or aim of the research paper or thesis. As the name implies, it is a statement, mainly written in just one sentence.

A thesis statement briefly combines the topic and the main ideas of the paper. Usually, there are two types of thesis statements: indirect and direct. The indirect thesis statements do not mention the core areas or reason of the thesis like the direct statement does.

A direct statement mentions the main topic and discusses the reasons for the paper, while an indirect statement mentions the statement and points out three reasons for it.

For instance, an indirect  social media thesis  statement could go like this; “Effects of social media on youth and the reasons for its abuse.” Here the topic is clearly stated, along with the central claim of the thesis paper.

Thesis statements are created, backed up, and expatiated in the remaining parts of the paper by citing examples and bringing up other related topics that support their claim. Through this, the thesis statement then goes to help structure and develop the entire body of the writing piece.

A  thesis about social media  should contain a good thesis statement that would  impact  and organize the body of the thesis work. Thesis statements do not necessarily control the entire essay but complement it in numerous aspects.

In writing a social media essay, there is a wide variety of topics to talk about. The points are nearly endless, from information collection to technology, its impacts, and adverse effects to its evolution. Nevertheless, there is always a basic outline for an essay, and it will be structured to follow the same format.

Here is an outline for a social media essay;

• Introduction 

Here, you begin with the topic, state its objective, provide reasons to support its claims and finalize with a precise and accurate thesis statement.

• Thesis statement

This statement should support and complement your main topic of discussion. It should provide a concise and cut-out message of the essay.

This section systematically lays out the arguments to support your topic while splitting them into paragraphs. This will gradually develop your points in a structured manner.

Each paragraph in this section must start with the topic sentence which relates directly to the thesis statement. Naturally, a paragraph should focus on one idea and be connected to the essay’s central argument.

Students must also conduct research and provide evidence to support the claims presented in the topic sentence. They can achieve this by using proper explanation methods to merge all their findings carefully.

In the conclusion  of the social media essay ,   you restate your statement in a way that completely complements and brings all your previous arguments together. It must have a concluding paragraph that reiterates the main point discussed in the body of the content. It should also add a call to action to bring the essay into a logical closure that effortlessly lays bare all the ideas previously presented.

The social media field is continuously expanding, and there are various variations to how it can be operated and observed. Choosing a topic is easy, but choosing the right one may not be as unchallenging.

Before you begin writing an essay, the correct approach will be to review as many samples as you can. This way, you can easily understand the general concept and the adequate writing flow required to outline or develop your arguments carefully.

Picking the wrong titles can go on to make your  thesis for a social media essay  unnecessarily tricky to write. This can occur when you pick a topic too complex or choose one too vaguely and undervalued. This could make you get stuck when writing, so you should always pick titles that are easy to research, analyze and expand upon.

With all these in view, here are some social media essay titles;

• Impact of social media on general education
• Effects of using social media on businesses
• Adverse effects of social media on personal relationships
• The effect of government on social media and their potential restrictions
• How a  thesis about the effects of social media can  positively impact society.

A thesis on social media should easily resemble other academic papers and concentrate on various topics in various subjects. Papers like this should take social media as their primary focus.

Keeping that in mind, a compelling social media thesis should contain specific parts like an introduction, thesis statement, body, and conclusion. Each part is essential and has its contribution and functions to the entire content of the thesis. Some students may find writing a thesis statement about social media difficult, so you can always ask our professional writers to “ write my thesis ” and we will be happy to help you.

The introduction usually contains a hook, a summary of the core points, and a concise thesis statement. The body section must carefully develop each argument and idea in a paragraph, while the conclusion should completely close all the arguments.

The tone, style, and approach to each argument should be precise and well laid out to quickly understand the general idea the thesis is trying to build upon. Depending on the level of education you are writing your thesis, you may need to conduct specific direct research on some points and be required to portray them in an encompassing manner.

Generally, thesis writing on any topic requires hard work, extensive research periods, and a good understanding of writing methods. Hence it should be approached with determination and passion. As a student in higher education, you should learn how to improve your writing skills.

An argumentative essay on social media is typically more engaging with active points of discussion and analysis. Communication is an integral aspect of human life when connecting and moving society as a whole forward. Now technology has upgraded communication to a social media age, which has become an advantage and disadvantage in many aspects of life.

An argumentative social media essay generally possesses a strong argument. The essay’s topic must be designed to prompt a person to pick a side or a discussion and provide the necessary support to back up their decision. This type of essay also requires one to research accurate facts for proper argumentative purposes.

Social media   argumentative essays  target the harmful effects of this brilliant innovation in communication and its uses worldwide. It is only natural as negative discussions might elicit a sense of debate and argumentation. Some examples of argumentative essay topics on social media include;

• The negative effects of social media on education in different nations
• Effects of social media and its impacts on the older and younger generation
• How social media has taken over people
• The adverse effects of social media and the digital space on our  mental health
• The pros and cons of social media in this society.

Social networking is an integral aspect of social media. It uses Internet-based social media sites to create connections and stay connected with friends, customers, family, and even business partners.

Social networking usually performs a primary purpose in communication with actual avenues like Twitter, Instagram, Facebook, and LinkedIn. These sites and applications enable people to connect to develop relationships and share messages, ideas, and information.

Most social networking forms entail developing and maintaining relationships using communication technology, whether it is the relationship between clients, business partners, or even students.

For example, with the development of the Internet, most students can easily find services to help write dissertations on media space, or social media marketing. All you have to do is invite me to write my dissertation and they will immediately find the best service to solve their problem.

Writing is  a social networking thesis statement  similar to that of a social media thesis statement. They essentially involve rational discussion, and they can be approached in the same manner. The only slight difference will be the particular attention to social media relationships. How they are developed, what it takes to maintain them, and the various merits they could provide. These would typically form the structure of a  social networking thesis statement.

Writing a good thesis statement on social media involves a good understanding of the topic chosen and an accurate idea of the reasons, factors, and discussions that impact the main idea of the thesis. With all these discussed, you should be well on your way to writing good thesis statements on social media.

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Thesis Statement About Social Media

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Effects of Social Media on Teenagers

This essay about the nuanced effects of social media on teenagers during their critical phase of youth. It explores the influence of platforms like Instagram and Twitter on self-esteem, body image, and social development. Despite its potential for loneliness and negative impacts, social media also offers avenues for self-expression and community building, shaping the lives of adolescents in the modern digital era.

How it works

In a modern digital era, social medias-platforms became the inalienable aspect of lives of youths. With Facebook to Instagram, Snapchat for Twitter, teenagers are tightened to the virtual kingdoms, where cleating is forged, experience divided, and an identity investigated. While advantages of social Medias are obvious, by the way megascopic communication and informative availability, his influence on psychological, emotional, and social prosperity of youths deep and multifaceted. This essay aims to investigate the nuanced effects of social Medias on teenagers during their critical experience phase of youth.

One of the most noticeable operating of social Medias on youths is his deep influence on their self-respect and picture of body. Platforms like Instagram are gap-filling with pictures perfect individuals, meticulously edited often, to present the version of beauty, what is idealized. A permanent exposure to such unattainable standards can bring teenagers over, to develop distorted their perceptions of own bodies, encouraging feelings inadequacy and deserving diminished for itself. Wide research separated correlation between the excessive social mediause and dissatisfaction of body among youths, with girls especially absorptive from comparisons, what rises, with the second on these platforms. Therefore, then the phenomenon can assist the attack of meal of disturbances, depression, and anxiety disorders among teenagers. In addition, social Medias have potential, to sharpen feelings of loneliness and social isolation among teenagers, without regard to his aim of creation of possibility of cleating, what is taken under attention. While these platforms offer the illusion of the eternal cleating, studies offer, that the excessive social mediause can paradoxically take to feelings of disconnection and loneliness. This paradox originates from superficial nature of interactions, that often feel the defect of depth and authenticity face to face communication. Therefore, youths, presumably, are infinitely, inverting feeds it is occupied by instantaneous surveys them peers’, exciting lives, careless strengthening their own sense to social inadequacy and isolation. In addition to his operating on a mental health, social Medias considerably influence on social development of youths, forming their perceptions of mutual relations and intersubscriber dynamics. With domination of communication, youths all anymore and anymore consist in digital platforms how their primary method of co-operation. This moving from traditional is created from communication, for example face to face conversations, presumably, development of critical social habits prevents, by the way sympathy, active listening, and decision of contradiction. To that, the anonymity provided with social Medias can hearten teenagers, to attract to maintenance that they, presumably, would not show in real-life co-operations, for example cyberbullying or distribution of rumor, conduces to the harmful effects on how victims, so and violators. However, then would be careless, to examine the positive aspects of social Medias in lives of teenagers. For many youths, social medias-presentations how a vital resource for self- of expression, creative potential, and public building. Platforms like Youtube and Tiktok offer avenues, that teenagers proposed talents on their shop-window, divide their sweetnesses, and reported with like-minded individuals globally. Additionally, social Medias can encourage sense of belonging and support for teenagers, that, presumably, feel to such, what is examined by second-rate or isolated in their autonomous, lives. Onlinecommunities concentrated around divided businesses, identity, whether experience can provide the invaluable networks of support for youths that are at the head difficulties of youth.

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Thesis Statements about Social Media: 21 Examples and Tips

• by Judy Jeni
• January 27, 2024

A thesis statement is a sentence in the introduction paragraph of an essay that captures the purpose of the essay. Using thesis statements about social media as an example, I will guide you on how to write them well.

It can appear anywhere in the first paragraph of the essay but it is mostly preferred when it ends the introduction paragraph. learning how to write a thesis statement for your essay will keep you focused.

A thesis statement can be more than one sentence only when the essay is on complex topics and there is a need to break the statement into two. This means, a good thesis statement structures an essay and tells the reader what an essay is all about.

A good social media thesis statement should be about a specific aspect of social media and not just a broad view of the topic.

The statement should be on the last sentence of the first paragraph and should tell the reader about your stand on the social media issue you are presenting or arguing in the essay.

Reading an essay without a thesis statement is like solving a puzzle. Readers will have to read the conclusion to at least grasp what the essay is all about. It is therefore advisable to craft a thesis immediately after researching an essay.

Throughout your entire writing, every point in every paragraph should connect to the thesis.  In case it doesn’t then probably you have diverged from the main issue of the essay.

How to Write a Thesis Statement?

Writing a thesis statement is important when writing an essay on any topic, not just about social media. It is the key to holding your ideas and arguments together into just one sentence.

The following are tips on how to write a good thesis statement:

Start With a Question and Develop an Answer

If the question is not provided, come up with your own. Start by deciding the topic and what you would like to find out about it.

Secondly, after doing some initial research on the topic find the answers to the topic that will help and guide the process of researching and writing.

Consequently, if you write a thesis statement that does not provide information about your research topic, you need to construct it again.

Be Specific

The main idea of your essay should be specific. Therefore, the thesis statement of your essay should not be vague. When your thesis statement is too general, the essay will try to incorporate a lot of ideas that can contribute to the loss of focus on the main ideas.

Similarly, specific and narrow thesis statements help concentrate your focus on evidence that supports your essay. In like manner, a specific thesis statement tells the reader directly what to expect in the essay.

Make the Argument Clear

Usually, essays with less than one thousand words require the statement to be clearer. Remember, the length of a thesis statement should be a single sentence, which calls for clarity.

In these short essays, you do not have the freedom to write long paragraphs that provide more information on the topic of the essay.

Likewise, multiple arguments are not accommodated. This is why the thesis statement needs to be clear to inform the reader of what your essay is all about.

If you proofread your essay and notice that the thesis statement is contrary to the points you have focused on, then revise it and make sure that it incorporates the main idea of the essay. Alternatively, when the thesis statement is okay, you will have to rewrite the body of your essay.

Question your Assumptions

Before formulating a thesis statement, ask yourself the basis of the arguments presented in the thesis statement.

Assumptions are what your reader assumes to be true before accepting an argument. Before you start, it is important to be aware of the target audience of your essay.

Thinking about the ways your argument may not hold up to the people who do not subscribe to your viewpoint is crucial.

Alongside, revise the arguments that may not hold up with the people who do not subscribe to your viewpoint.

Take a Strong Stand

A thesis statement should put forward a unique perspective on what your essay is about. Avoid using observations as thesis statements.

In addition, true common facts should be avoided. Make sure that the stance you take can be supported with credible facts and valid reasons.

Equally, don’t provide a summary, make a valid argument. If the first response of the reader is “how” and “why” the thesis statement is too open-ended and not strong enough.

Make Your Thesis Statement Seen

The thesis statement should be what the reader reads at the end of the first paragraph before proceeding to the body of the essay. understanding how to write a thesis statement, leaves your objective summarized.

Positioning may sometimes vary depending on the length of the introduction that the essay requires. However, do not overthink the thesis statement. In addition, do not write it with a lot of clever twists.

Do not exaggerate the stage setting of your argument. Clever and exaggerated thesis statements are weak. Consequently, they are not clear and concise.

Good thesis statements should concentrate on one main idea. Mixing up ideas in a thesis statement makes it vague. Read on how to write an essay thesis as part of the steps to write good essays.

A reader may easily get confused about what the essay is all about if it focuses on a lot of ideas. When your ideas are related, the relation should come out more clearly.

21 Examples of Thesis Statements about Social Media

• Recently, social media is growing rapidly. Ironically, its use in remote areas has remained relatively low.
• Social media has revolutionized communication but it is evenly killing it by limiting face-to-face communication.
• Identically, social media has helped make work easier. However,at the same time it is promoting laziness and irresponsibility in society today.
• The widespread use of social media and its influence has increased desperation, anxiety, and pressure among young youths.
• Social media has made learning easier but its addiction can lead to bad grades among university students.
• As a matter of fact, social media is contributing to the downfall of mainstream media. Many advertisements and news are accessed on social media platforms today.
• Social media is a major promoter of immorality in society today with many platforms allowing sharing of inappropriate content.
• Significantly, social media promotes copycat syndrome that positively and negatively impacts the behavior adapted by different users.
• In this affluent era, social media has made life easy but consequently affects productivity and physical strength.
• The growth of social media and its ability to reach more people increases growth in today’s business world.
• The freedom on social media platforms is working against society with the recent increase in hate speech and racism.
• Lack of proper verification when signing up on social media platforms has increased the number of minors using social media exposing them to cyberbullying and inappropriate content.
• The freedom of posting anything on social media has landed many in trouble making the need to be cautious before posting anything important.
• The widespread use of social media has contributed to the rise of insecurity in urban centers
• Magazines and journals have spearheaded the appreciation of all body types but social media has increased the rate of body shaming in America.
• To stop abuse on Facebook and Twitter the owners of these social media platforms must track any abusive post and upload and ban the users from accessing the apps.
• Social media benefits marketing by creating brand recognition, increasing sales, and measuring success with analytics by tracking data.
• Social media connects people around the globe and fosters new relationships and the sharing of ideas that did not exist before its inception.
• The increased use of social media has led to the creation of business opportunities for people through social networking, particularly as social media influencers.
• Learning is convenient through social media as students can connect with education systems and learning groups that make learning convenient.
• With most people spending most of their free time glued to social media, quality time with family reduces leading to distance relationships and reduced love and closeness.

Feb 15, 2023

6 Example Essays on Social Media | Advantages, Effects, and Outlines

Got an essay assignment about the effects of social media we got you covered check out our examples and outlines below.

Social media has become one of our society's most prominent ways of communication and information sharing in a very short time. It has changed how we communicate and has given us a platform to express our views and opinions and connect with others. It keeps us informed about the world around us. Social media platforms such as Facebook, Twitter, Instagram, and LinkedIn have brought individuals from all over the world together, breaking down geographical borders and fostering a genuinely global community.

However, social media comes with its difficulties. With the rise of misinformation, cyberbullying, and privacy problems, it's critical to utilize these platforms properly and be aware of the risks. Students in the academic world are frequently assigned essays about the impact of social media on numerous elements of our lives, such as relationships, politics, and culture. These essays necessitate a thorough comprehension of the subject matter, critical thinking, and the ability to synthesize and convey information clearly and succinctly.

But where do you begin? It can be challenging to know where to start with so much information available. Jenni.ai comes in handy here. Jenni.ai is an AI application built exclusively for students to help them write essays more quickly and easily. Jenni.ai provides students with inspiration and assistance on how to approach their essays with its enormous database of sample essays on a variety of themes, including social media. Jenni.ai is the solution you've been looking for if you're experiencing writer's block or need assistance getting started.

So, whether you're a student looking to better your essay writing skills or want to remain up to date on the latest social media advancements, Jenni.ai is here to help. Jenni.ai is the ideal tool for helping you write your finest essay ever, thanks to its simple design, an extensive database of example essays, and cutting-edge AI technology. So, why delay? Sign up for a free trial of Jenni.ai today and begin exploring the worlds of social networking and essay writing!

Want to learn how to write an argumentative essay? Check out these inspiring examples!

We will provide various examples of social media essays so you may get a feel for the genre.

6 Examples of Social Media Essays

Here are 6 examples of Social Media Essays:

The Impact of Social Media on Relationships and Communication

Introduction:.

The way we share information and build relationships has evolved as a direct result of the prevalence of social media in our daily lives. The influence of social media on interpersonal connections and conversation is a hot topic. Although social media has many positive effects, such as bringing people together regardless of physical proximity and making communication quicker and more accessible, it also has a dark side that can affect interpersonal connections and dialogue.

Positive Effects:

Connecting People Across Distances

One of social media's most significant benefits is its ability to connect individuals across long distances. People can use social media platforms to interact and stay in touch with friends and family far away. People can now maintain intimate relationships with those they care about, even when physically separated.

Improved Communication Speed and Efficiency

Additionally, the proliferation of social media sites has accelerated and simplified communication. Thanks to instant messaging, users can have short, timely conversations rather than lengthy ones via email. Furthermore, social media facilitates group communication, such as with classmates or employees, by providing a unified forum for such activities.

Negative Effects:

Decreased Face-to-Face Communication

The decline in in-person interaction is one of social media's most pernicious consequences on interpersonal connections and dialogue. People's reliance on digital communication over in-person contact has increased along with the popularity of social media. Face-to-face interaction has suffered as a result, which has adverse effects on interpersonal relationships and the development of social skills.

Decreased Emotional Intimacy

Another adverse effect of social media on relationships and communication is decreased emotional intimacy. Digital communication lacks the nonverbal cues and facial expressions critical in building emotional connections with others. This can make it more difficult for people to develop close and meaningful relationships, leading to increased loneliness and isolation.

Increased Conflict and Miscommunication

Finally, social media can also lead to increased conflict and miscommunication. The anonymity and distance provided by digital communication can lead to misunderstandings and hurtful comments that might not have been made face-to-face. Additionally, social media can provide a platform for cyberbullying , which can have severe consequences for the victim's mental health and well-being.

Conclusion:

In conclusion, the impact of social media on relationships and communication is a complex issue with both positive and negative effects. While social media platforms offer many benefits, such as connecting people across distances and enabling faster and more accessible communication, they also have a dark side that can negatively affect relationships and communication. It is up to individuals to use social media responsibly and to prioritize in-person communication in their relationships and interactions with others.

The Role of Social Media in the Spread of Misinformation and Fake News

Social media has revolutionized the way information is shared and disseminated. However, the ease and speed at which data can be spread on social media also make it a powerful tool for spreading misinformation and fake news. Misinformation and fake news can seriously affect public opinion, influence political decisions, and even cause harm to individuals and communities.

The Pervasiveness of Misinformation and Fake News on Social Media

Misinformation and fake news are prevalent on social media platforms, where they can spread quickly and reach a large audience. This is partly due to the way social media algorithms work, which prioritizes content likely to generate engagement, such as sensational or controversial stories. As a result, false information can spread rapidly and be widely shared before it is fact-checked or debunked.

The Influence of Social Media on Public Opinion

Social media can significantly impact public opinion, as people are likelier to believe the information they see shared by their friends and followers. This can lead to a self-reinforcing cycle, where misinformation and fake news are spread and reinforced, even in the face of evidence to the contrary.

The Challenge of Correcting Misinformation and Fake News

Correcting misinformation and fake news on social media can be a challenging task. This is partly due to the speed at which false information can spread and the difficulty of reaching the same audience exposed to the wrong information in the first place. Additionally, some individuals may be resistant to accepting correction, primarily if the incorrect information supports their beliefs or biases.

In conclusion, the function of social media in disseminating misinformation and fake news is complex and urgent. While social media has revolutionized the sharing of information, it has also made it simpler for false information to propagate and be widely believed. Individuals must be accountable for the information they share and consume, and social media firms must take measures to prevent the spread of disinformation and fake news on their platforms.

The Effects of Social Media on Mental Health and Well-Being

Social media has become an integral part of modern life, with billions of people around the world using platforms like Facebook, Instagram, and Twitter to stay connected with others and access information. However, while social media has many benefits, it can also negatively affect mental health and well-being.

Comparison and Low Self-Esteem

One of the key ways that social media can affect mental health is by promoting feelings of comparison and low self-esteem. People often present a curated version of their lives on social media, highlighting their successes and hiding their struggles. This can lead others to compare themselves unfavorably, leading to feelings of inadequacy and low self-esteem.

Cyberbullying and Online Harassment

Another way that social media can negatively impact mental health is through cyberbullying and online harassment. Social media provides a platform for anonymous individuals to harass and abuse others, leading to feelings of anxiety, fear, and depression.

Social Isolation

Despite its name, social media can also contribute to feelings of isolation. At the same time, people may have many online friends but need more meaningful in-person connections and support. This can lead to feelings of loneliness and depression.

Addiction and Overuse

Finally, social media can be addictive, leading to overuse and negatively impacting mental health and well-being. People may spend hours each day scrolling through their feeds, neglecting other important areas of their lives, such as work, family, and self-care.

In sum, social media has positive and negative consequences on one's psychological and emotional well-being. Realizing this, and taking measures like reducing one's social media use, reaching out to loved ones for help, and prioritizing one's well-being, are crucial. In addition, it's vital that social media giants take ownership of their platforms and actively encourage excellent mental health and well-being.

The Use of Social Media in Political Activism and Social Movements

Social media has recently become increasingly crucial in political action and social movements. Platforms such as Twitter, Facebook, and Instagram have given people new ways to express themselves, organize protests, and raise awareness about social and political issues.

Raising Awareness and Mobilizing Action

One of the most important uses of social media in political activity and social movements has been to raise awareness about important issues and mobilize action. Hashtags such as #MeToo and #BlackLivesMatter, for example, have brought attention to sexual harassment and racial injustice, respectively. Similarly, social media has been used to organize protests and other political actions, allowing people to band together and express themselves on a bigger scale.

Connecting with like-minded individuals

A second method in that social media has been utilized in political activity and social movements is to unite like-minded individuals. Through social media, individuals can join online groups, share knowledge and resources, and work with others to accomplish shared objectives. This has been especially significant for geographically scattered individuals or those without access to traditional means of political organizing.

Challenges and Limitations

As a vehicle for political action and social movements, social media has faced many obstacles and restrictions despite its many advantages. For instance, the propagation of misinformation and fake news on social media can impede attempts to disseminate accurate and reliable information. In addition, social media corporations have been condemned for censorship and insufficient protection of user rights.

In conclusion, social media has emerged as a potent instrument for political activism and social movements, giving voice to previously unheard communities and galvanizing support for change. Social media presents many opportunities for communication and collaboration. Still, users and institutions must be conscious of the risks and limitations of these tools to promote their responsible and productive usage.

The Potential Privacy Concerns Raised by Social Media Use and Data Collection Practices

With billions of users each day on sites like Facebook, Twitter, and Instagram, social media has ingrained itself into every aspect of our lives. While these platforms offer a straightforward method to communicate with others and exchange information, they also raise significant concerns over data collecting and privacy. This article will examine the possible privacy issues posed by social media use and data-gathering techniques.

Data Collection and Sharing

The gathering and sharing of personal data are significant privacy issues brought up by social media use. Social networking sites gather user data, including details about their relationships, hobbies, and routines. This information is made available to third-party businesses for various uses, such as marketing and advertising. This can lead to serious concerns about who has access to and uses our personal information.

Lack of Control Over Personal Information

The absence of user control over personal information is a significant privacy issue brought up by social media usage. Social media makes it challenging to limit who has access to and how data is utilized once it has been posted. Sensitive information may end up being extensively disseminated and may be used maliciously as a result.

Personalized Marketing

Social media companies utilize the information they gather about users to target them with adverts relevant to their interests and usage patterns. Although this could be useful, it might also cause consumers to worry about their privacy since they might feel that their personal information is being used without their permission. Furthermore, there are issues with the integrity of the data being used to target users and the possibility of prejudice based on individual traits.

Government Surveillance

Using social media might spark worries about government surveillance. There are significant concerns regarding privacy and free expression when governments in some nations utilize social media platforms to follow and monitor residents.

In conclusion, social media use raises significant concerns regarding data collecting and privacy. While these platforms make it easy to interact with people and exchange information, they also gather a lot of personal information, which raises questions about who may access it and how it will be used. Users should be aware of these privacy issues and take precautions to safeguard their personal information, such as exercising caution when choosing what details to disclose on social media and keeping their information sharing with other firms to a minimum.

The Ethical and Privacy Concerns Surrounding Social Media Use And Data Collection

Our use of social media to communicate with loved ones, acquire information, and even conduct business has become a crucial part of our everyday lives. The extensive use of social media does, however, raise some ethical and privacy issues that must be resolved. The influence of social media use and data collecting on user rights, the accountability of social media businesses, and the need for improved regulation are all topics that will be covered in this article.

Effect on Individual Privacy:

Social networking sites gather tons of personal data from their users, including delicate information like search history, location data, and even health data. Each user's detailed profile may be created with this data and sold to advertising or used for other reasons. Concerns regarding the privacy of personal information might arise because social media businesses can use this data to target users with customized adverts.

Additionally, individuals might need to know how much their personal information is being gathered and exploited. Data breaches or the unauthorized sharing of personal information with other parties may result in instances where sensitive information is exposed. Users should be aware of the privacy rules of social media firms and take precautions to secure their data.

Responsibility of Social Media Companies:

Social media firms should ensure that they responsibly and ethically gather and use user information. This entails establishing strong security measures to safeguard sensitive information and ensuring users are informed of what information is being collected and how it is used.

Many social media businesses, nevertheless, have come under fire for not upholding these obligations. For instance, the Cambridge Analytica incident highlighted how Facebook users' personal information was exploited for political objectives without their knowledge. This demonstrates the necessity of social media corporations being held responsible for their deeds and ensuring that they are safeguarding the security and privacy of their users.

Better Regulation Is Needed

There is a need for tighter regulation in this field, given the effect, social media has on individual privacy as well as the obligations of social media firms. The creation of laws and regulations that ensure social media companies are gathering and using user information ethically and responsibly, as well as making sure users are aware of their rights and have the ability to control the information that is being collected about them, are all part of this.

Additionally, legislation should ensure that social media businesses are held responsible for their behavior, for example, by levying fines for data breaches or the unauthorized use of personal data. This will provide social media businesses with a significant incentive to prioritize their users' privacy and security and ensure they are upholding their obligations.

In conclusion, social media has fundamentally changed how we engage and communicate with one another, but this increased convenience also raises several ethical and privacy issues. Essential concerns that need to be addressed include the effect of social media on individual privacy, the accountability of social media businesses, and the requirement for greater regulation to safeguard user rights. We can make everyone's online experience safer and more secure by looking more closely at these issues.

In conclusion, social media is a complex and multifaceted topic that has recently captured the world's attention. With its ever-growing influence on our lives, it's no surprise that it has become a popular subject for students to explore in their writing. Whether you are writing an argumentative essay on the impact of social media on privacy, a persuasive essay on the role of social media in politics, or a descriptive essay on the changes social media has brought to the way we communicate, there are countless angles to approach this subject.

However, writing a comprehensive and well-researched essay on social media can be daunting. It requires a thorough understanding of the topic and the ability to articulate your ideas clearly and concisely. This is where Jenni.ai comes in. Our AI-powered tool is designed to help students like you save time and energy and focus on what truly matters - your education. With Jenni.ai , you'll have access to a wealth of examples and receive personalized writing suggestions and feedback.

Whether you're a student who's just starting your writing journey or looking to perfect your craft, Jenni.ai has everything you need to succeed. Our tool provides you with the necessary resources to write with confidence and clarity, no matter your experience level. You'll be able to experiment with different styles, explore new ideas , and refine your writing skills.

So why waste your time and energy struggling to write an essay on your own when you can have Jenni.ai by your side? Sign up for our free trial today and experience the difference for yourself! With Jenni.ai, you'll have the resources you need to write confidently, clearly, and creatively. Get started today and see just how easy and efficient writing can be!

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NPR in Turmoil After It Is Accused of Liberal Bias

An essay from an editor at the broadcaster has generated a firestorm of criticism about the network on social media, especially among conservatives.

By Benjamin Mullin and Katie Robertson

NPR is facing both internal tumult and a fusillade of attacks by prominent conservatives this week after a senior editor publicly claimed the broadcaster had allowed liberal bias to affect its coverage, risking its trust with audiences.

Uri Berliner, a senior business editor who has worked at NPR for 25 years, wrote in an essay published Tuesday by The Free Press, a popular Substack publication, that “people at every level of NPR have comfortably coalesced around the progressive worldview.”

Mr. Berliner, a Peabody Award-winning journalist, castigated NPR for what he said was a litany of journalistic missteps around coverage of several major news events, including the origins of Covid-19 and the war in Gaza. He also said the internal culture at NPR had placed race and identity as “paramount in nearly every aspect of the workplace.”

Mr. Berliner’s essay has ignited a firestorm of criticism of NPR on social media, especially among conservatives who have long accused the network of political bias in its reporting. Former President Donald J. Trump took to his social media platform, Truth Social, to argue that NPR’s government funding should be rescinded, an argument he has made in the past.

NPR has forcefully pushed back on Mr. Berliner’s accusations and the criticism.

“We’re proud to stand behind the exceptional work that our desks and shows do to cover a wide range of challenging stories,” Edith Chapin, the organization’s editor in chief, said in an email to staff on Tuesday. “We believe that inclusion — among our staff, with our sourcing, and in our overall coverage — is critical to telling the nuanced stories of this country and our world.” Some other NPR journalists also criticized the essay publicly, including Eric Deggans, its TV critic, who faulted Mr. Berliner for not giving NPR an opportunity to comment on the piece.

In an interview on Thursday, Mr. Berliner expressed no regrets about publishing the essay, saying he loved NPR and hoped to make it better by airing criticisms that have gone unheeded by leaders for years. He called NPR a “national trust” that people rely on for fair reporting and superb storytelling.

“I decided to go out and publish it in hopes that something would change, and that we get a broader conversation going about how the news is covered,” Mr. Berliner said.

He said he had not been disciplined by managers, though he said he had received a note from his supervisor reminding him that NPR requires employees to clear speaking appearances and media requests with standards and media relations. He said he didn’t run his remarks to The New York Times by network spokespeople.

When the hosts of NPR’s biggest shows, including “Morning Edition” and “All Things Considered,” convened on Wednesday afternoon for a long-scheduled meet-and-greet with the network’s new chief executive, Katherine Maher , conversation soon turned to Mr. Berliner’s essay, according to two people with knowledge of the meeting. During the lunch, Ms. Chapin told the hosts that she didn’t want Mr. Berliner to become a “martyr,” the people said.

Mr. Berliner’s essay also sent critical Slack messages whizzing through some of the same employee affinity groups focused on racial and sexual identity that he cited in his essay. In one group, several staff members disputed Mr. Berliner’s points about a lack of ideological diversity and said efforts to recruit more people of color would make NPR’s journalism better.

On Wednesday, staff members from “Morning Edition” convened to discuss the fallout from Mr. Berliner’s essay. During the meeting, an NPR producer took issue with Mr. Berliner’s argument for why NPR’s listenership has fallen off, describing a variety of factors that have contributed to the change.

Mr. Berliner’s remarks prompted vehement pushback from several news executives. Tony Cavin, NPR’s managing editor of standards and practices, said in an interview that he rejected all of Mr. Berliner’s claims of unfairness, adding that his remarks would probably make it harder for NPR journalists to do their jobs.

“The next time one of our people calls up a Republican congressman or something and tries to get an answer from them, they may well say, ‘Oh, I read these stories, you guys aren’t fair, so I’m not going to talk to you,’” Mr. Cavin said.

Some journalists have defended Mr. Berliner’s essay. Jeffrey A. Dvorkin, NPR’s former ombudsman, said Mr. Berliner was “not wrong” on social media. Chuck Holmes, a former managing editor at NPR, called Mr. Berliner’s essay “brave” on Facebook.

Mr. Berliner’s criticism was the latest salvo within NPR, which is no stranger to internal division. In October, Mr. Berliner took part in a lengthy debate over whether NPR should defer to language proposed by the Arab and Middle Eastern Journalists Association while covering the conflict in Gaza.

“We don’t need to rely on an advocacy group’s guidance,” Mr. Berliner wrote, according to a copy of the email exchange viewed by The Times. “Our job is to seek out the facts and report them.” The debate didn’t change NPR’s language guidance, which is made by editors who weren’t part of the discussion. And in a statement on Thursday, the Arab and Middle Eastern Journalists Association said it is a professional association for journalists, not a political advocacy group.

Mr. Berliner’s public criticism has highlighted broader concerns within NPR about the public broadcaster’s mission amid continued financial struggles. Last year, NPR cut 10 percent of its staff and canceled four podcasts, including the popular “Invisibilia,” as it tried to make up for a $30 million budget shortfall. Listeners have drifted away from traditional radio to podcasts, and the advertising market has been unsteady.

In his essay, Mr. Berliner laid some of the blame at the feet of NPR’s former chief executive, John Lansing, who said he was retiring at the end of last year after four years in the role. He was replaced by Ms. Maher, who started on March 25.

During a meeting with employees in her first week, Ms. Maher was asked what she thought about decisions to give a platform to political figures like Ronna McDaniel, the former Republican Party chair whose position as a political analyst at NBC News became untenable after an on-air revolt from hosts who criticized her efforts to undermine the 2020 election.

“I think that this conversation has been one that does not have an easy answer,” Ms. Maher responded.

Benjamin Mullin reports on the major companies behind news and entertainment. Contact Ben securely on Signal at +1 530-961-3223 or email at [email protected] . More about Benjamin Mullin

Katie Robertson covers the media industry for The Times. Email:  [email protected]   More about Katie Robertson