Social Media Use and Eudaimonic Well-Being

Why do people engage with the suffering of strangers? Exploring epistemic, eudaimonic, social, and affective motives

Reading violent stories or watching a war documentary are examples in which people voluntarily engage with the suffering of others whom they do not know. Using a mixed-methods approach, we investigated why people make these decisions, while also mapping the characteristics of strangers' suffering to gain a rich understanding. In Study 1 (N = 247), participants described situations of suffering and their reasons to engage with it. Using qualitative thematic analysis, we developed a typology of the stranger (who), the situation (what), the source (how), and the reason(s) for engaging with the situation (why). We categorised the motives into four overarching themes - epistemic, eudaimonic, social, and affective - reflecting diversity in the perceived functionality of engaging with a stranger's suffering. Next, we tested the robustness of the identified motives in a quantitative study. In Study 2, participants (N = 250) recalled a situation in which they engaged with the suffering of a stranger and indicated their endorsement with a variety of possible motives. Largely mirroring Study 1, Study 2 participants engaged to acquire knowledge, for personal and social utility, and to feel positive and negative emotions. We discuss implications for understanding the exploration of human suffering as a motivated phenomenon.

Psychometric validation of Social Network Sites Use Motivation (SNSUM) Scale among Chinese adolescents and undergraduates

Research into the motivations for using social network sites has greatly increased in recent years. However, few studies have examined the psychometric validation of scales measuring these motivations. This research revised the Social Network Sites Use Motivations (SNSUM) Scale for application in a Chinese context. A total of 931 Chinese adolescents and undergraduates, aged 16-23 years, completed the adapted SNSUM scale and assessments of life satisfaction. Item analysis indicated all items in the SNSUM scale were retained for exploratory factor analysis (EFA). EFA results revealed a five-factor solution, explaining 75.37 % of the total variance, with factor loadings exceeding 0.40. This factor structure aligns with theoretical expectations and previous studies. Confirmatory factor analysis (χ2 = 415.633; df = 92, CFI = 0.934, TLI = 0.914, RMSEA = 0.080) and measurement invariance indicate robust construct validity of the scale across diverse gender and age cohorts. It also showed high internal consistency (Cronbach's α = 0.950) and excellent test-retest reliability (intraclass correlation coefficient = 0.952). Notably, SNSUM demonstrated a significant positive correlation with life satisfaction (r = 0.531). The findings confirm that the scale has robust psychometric properties among Chinese adolescents and undergraduates, suggesting its applicability within the context of Chinese culture.

Adolescent Social Media Use through a Self-Determination Theory Lens: A Systematic Scoping Review

BACKGROUND

Social media is an integral part of adolescents' lives and has a strong influence on development and wellbeing. Research examining adolescent social media use and wellbeing is confusing as findings are inconsistent, inconclusive and contradictory. To address this issue, digital wellbeing scholars recommend that researchers adopt a theoretical approach with the aim of increasing meaningfulness and applicability of findings. Hence, this review applies self-determination theory to investigate how adolescent social media use supports and thwarts the basic psychological needs of relatedness, autonomy and competence. Satisfaction of all three psychological needs is essential for optimal development and wellbeing.

METHODS

A scoping review was conducted using a systematic search of five databases relating to adolescent social media use. The preferred items for systematic review and meta-analysis protocols (extension for scoping reviews) was applied resulting in 86 included studies.

RESULTS

Adolescent social media use both supports and thwarts relatedness, autonomy and competence. The findings highlighted how different aspects of adolescent social media use (including intra-personal, inter-personal, situational and environmental factors) contribute to the satisfaction and frustration of basic psychological needs.

CONCLUSIONS

This review illustrates how social media can be both beneficial and detrimental to satisfying the basic psychological needs of relatedness, autonomy and competence. This is important when considering that if psychological needs are satisfied or frustrated in adolescence, the repercussions can have a cascading effect throughout adulthood. This review identifies gaps in the literature and provides suggestions for future research.

Meaningful Media Experiences and Vaccination Message Communication: An Experimental Study with Vaccine-Hesitant Individuals

Guided by the eudaimonic media and the health persuasion literature, the current study explores how meaningful emotions elicited from entertainment media exposure decreases anti-vaccination attitudes among vaccine-hesitant individuals. Results of a between-subjects experiment (N = 409) showed that participants who viewed meaningful music videos (vs. neutral videos) and vaccination messages embedded in the user-generated comments reported more empathy, less reactance, and less anti-vaccination attitudes. Multigroup analysis revealed that this association was held for participants who were hesitant about whether they would get fully vaccinated, but not for participants who were determined to not get vaccinated. Theoretical and practical implications were discussed.

ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones

As our interactions with each other become increasingly digitally mediated, there is growing interest in the study of people's digital experiences. To better understand digital experiences, some researchers have proposed the use of screenomes. This involves the collection of sequential high-frequency screenshots which provide detailed objective records of individuals' interaction with screen devices over time. Despite its usefulness, there remains no readily available tool that researchers can use to run their own screenome studies. To fill this gap, we introduce ScreenLife Capture, a user-friendly and open-source software to collect screenomes from smartphones. Using this tool, researchers can set up smartphone screenome studies even with limited programming knowledge and resources. We piloted the tool in an exploratory mixed-method study of 20 college students, collecting over 740,000 screenshots over a 2-week period. We found that smartphone use is highly heterogeneous, characterized by threads of experiences. Using in-depth interviews, we also explored the impact that constant background surveillance of smartphone use had on participants. Participants generally had slight psychological discomfort which fades after a few days, would suspend screen recording for activity perceived to be extremely private, and recounted slight changes in behavior. Implications for future research is discussed.

Online health community for change: Analysis of self-disclosure and social networks of users with depression

Background

A key research question with theoretical and practical implications is to investigate the various conditions by which social network sites (SNS) may either enhance or interfere with mental well-being, given the omnipresence of SNS and their dual effects on well-being.

Method/process

We study SNS’ effects on well-being by accounting for users’ personal (i.e., self-disclosure) and situational (i.e., social networks) attributes, using a mixed design of content analysis and social network analysis.

Result/conclusion

We compare users’ within-person changes in self-disclosure and social networks in two phases (over half a year), drawing on Weibo Depression SuperTalk, an online community for depression, and find: ① Several network attributes strengthen social support, including network connectivity, global efficiency, degree centralization, hubs of communities, and reciprocal interactions. ② Users’ self-disclosure attributes reflect positive changes in mental well-being and increased attachment to the community. ③ Correlations exist between users’ topological and self-disclosure attributes. ④ A Poisson regression model extracts self-disclosure attributes that may affect users’ received social support, including the writing length, number of active days, informal words, adverbs, negative emotion words, biological process words, and first-person singular forms.

Innovation

We combine social network analysis with content analysis, highlighting the need to understand SNS’ effects on well-being by accounting for users’ self-disclosure (content) and communication partners (social networks).

Implication/contribution

Authentic user data helps to avoid recall bias commonly found in self-reported data. A longitudinal within-person analysis of SNS’ effects on well-being is helpful for policymakers in public health intervention, community managers for group organizations, and users in online community engagement.

Moral Beauty During the COVID-19 Pandemic: Prosocial Behavior Among Adolescents and the Inspiring Role of the Media

In this study, we examined whether adolescents helped others during the COVID-19 pandemic and how stories in the media inspired them in doing so. Using an online daily diary design, 481 younger adolescents (M = 15.29, SD = 1.76) and 404 older adolescents (M = 21.48, SD = 1.91) were followed for 2 weeks. Findings from linear mixed effects models demonstrated that feelings of being moved by stories in the media were related to giving emotional support to family and friends, and to helping others, including strangers. Exposure to COVID-19 news and information was found to spark efforts to support and help as well and keeping physical distance in line with the advised protective behaviors against COVID-19. Moreover, helping others was related to increased happiness. Overall, the findings of this study highlight the potential role of the media in connecting people in times of crisis.

Using Social Media for Social Motives Moderates the Relationship between Post-Traumatic Symptoms during a COVID-19-Related Lockdown and Improvement of Distress after Lockdown

Previous research reported inconsistent results on the relationship between social media (SM) use and psychological well-being, suggesting the importance of assessing possible moderators, e.g., motives for SM use. However, no longitudinal study has yet investigated whether, among people who use SM, specific motives for using SM may represent protective/risk factors for the development of psychological distress, especially after a stressful event. Our longitudinal study aimed at assessing the moderating role of motives for using SM (i.e., coping, conformity, enhancement, social motives) in the relationship between COVID-19 pandemic-related post-traumatic stress symptoms during the lockdown and changes in general distress after lockdown. At Time 1 (during the first lockdown in Italy), 660 participants responded to an online survey, reporting their post-traumatic symptoms, motives for using SM, and general distress (i.e., anxiety, depression, and stress symptoms). At Time 2 (three months later, following lockdown), 117 participants volunteered to continue with the follow-up survey assessing general distress symptoms again. Results showed that among those who had experienced more severe post-traumatic symptoms at Time 1, using SM for social motives was associated with more improvement of general distress symptoms. No evidence was found of moderating effects of other motives for SM use. The findings suggest that social connections may have helped to cope with stress during forced confinement, and that SM use may be beneficial for mental health when motivated by maintaining social interactions.

Residents' WeChat Group Use and Pro-Community Behavior in the COVID-19 Crisis: A Distal Mediating Role of Community Trust and Community Attachment

Background

During the ongoing COVID-19 pandemic, the resident's WeChat group has created a new material foundation for dialogue to occur and become a powerful platform for resident communication. This study explores the mechanism behind and the effects of residents' WeChat group use on residents' community trust, community attachment, and pro-community behavior.

Methods

An online survey questionnaire was used for data collection. The authors collected data from 500 commercial housing community residents in Wuhan, China, and analyzed the data using SPSS 26.0 and Mplus 8.3 software.

Results

This study's findings uncover that (1) residents' usage of WeChat groups has a statistically significant and positive impact on their community trust, community attachment, and pro-community behavior; (2) community trust and community attachment both play a mediating role in the mechanism behind residents' usage of WeChat groups in improving pro-community behavior; and (3) the transmission and united effects between community trust and community attachment form a distal mediating role.

Conclusion

The model systematically and comprehensively reveals the internal mechanism behind residents' adoption of pro-community behavior. Community managers can actively participate in the resident's WeChat group to ensure the dissemination of positive information in the community; enhance residents' awareness of risk, community trust, and belonging; and cultivate community resilience. At the same time, community managers should also fully recognize the important transformative roles that community trust and community belonging play between the use of WeChat groups by residents and the formation of pro-community behavior. Community managers should actively establish a warm and trusting community culture, strive to create a community atmosphere with a sense of belonging, make residents develop emotional attachment to the community, and then form behavior that is beneficial to the community, greatly enhancing the resilience and self-management of the community in disaster situations.

Research on the Influence of DNN-Based Cross-Media Data Analysis on College Students' New Media Literacy

New media has gradually become the mainstream media that college students rely on, and new media has also brought about subversive changes and has become an essential medium for college students to receive and disseminate information, such as learning, interpersonal communication, and entertainment. Young college students have become the most enthusiastic recipients and users of new media. College students need to have the ability to recognize, understand, and criticize new media. New media literacy has become the basic quality that every college student living in modern society must have. This paper takes 826 college students as the research object with deep neural network (DNN), and then analyzes their media selection tendency, media usage time, positive influence, and the relationship with new media literacy. The formation of good new media literacy has a positive effect and influence on the work and study after the university, making it the main force of the media society.