Social media use and subjective well‐being among middle‐aged consumers in Korea: Mediation model of social capital moderated by disability

Author(s):  
Hyesun Hwang ◽  
Su‐Jung Nam
2021 ◽  
Vol 12 ◽  
Author(s):  
Dragana Ostic ◽  
Sikandar Ali Qalati ◽  
Belem Barbosa ◽  
Syed Mir Muhammad Shah ◽  
Esthela Galvan Vela ◽  
...  

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.


2022 ◽  
Vol 12 ◽  
Author(s):  
Fangqi Zhong ◽  
Pengpeng Li ◽  
Jinchao Xi

This study focused on the frequency of social media use. Through investigating and verifying the correlations between social media use frequency, online political participation, and social capital, we derived two models of socialization that affect citizen well-being and, accordingly, proposed strategic suggestions for democratic society construction and network management. This study drew upon the 2019 Taiwan Communication Survey database and used structural equation modeling (SEM) as a statistical method to explore the causal relationship between these four variables (social media use, online political participation, social capital and well-being). The data analysis yielded an overall good fit with the overall fit indicators: χ2 = 214.417, df = 84, p = 2.293, RMSEA = 0.028, GFI = 0.998, CFI = 0.986, SRMR = 0.066, and CN = 993.411. Future communication scholars who wish to explore issues related to new media users can draw on this model for subsequent research.


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