Understanding the Role of Social Media Content in Inducing Anxiety: A Qualitative Study
Abstract
Anxiety is associated with adverse effects on social media users' well-being. While previous research focused on understanding whether social media usage behavior, such as time spent on social media, elicits feelings of anxiety, scant attention has been paid to exploring the role of social media content in inducing feelings of anxiety. To address this research gap, a qualitative study with 249 social media users was conducted. Our results reveal six content categories that are likely to elicit anxiety: negative news, incivility, social comparison content, political content, misinformation, and content depicting dangerous behavior. By shedding light on these content categories, this study contributes to our understanding of the negative implications of social media on users. In addition, the results are relevant for platform providers and mental health practitioners seeking to mitigate negative online experiences and promote well-being.
Study specs
A qualitative study was conducted using interviews or focus groups with 249 social media users to explore the effects of different content types on anxiety.
- Authors
- A Meythaler
- Institution
- University of Potsdam,Weizenbaum Institute
- Sample Size
- N=249
- Study Type
- Experimental Study
- Year
- 2025
- Human Data Platform
- Prolific
- Source
- View Source DOI Google Scholar
Measured Outcomes
The role of specific social media content categories in inducing feelings of anxiety.
Peer Review & Critical Discussion
Potential Selection Bias in 2023 Cohort
The participant pool shows a concerning overrepresentation of users from high-income demographics. Looking at Table 3, we can see that 78% of respondents had annual incomes above $75k, which significantly limits the generalizability of these findings to broader populations.
Non-naive Participants Issue
I've noticed a methodological concern regarding participant naivety. Given that Prolific users often complete multiple studies, there's a real risk that participants had prior exposure to similar experimental paradigms, which could confound the results.
RLHF Applicability to This Study Design
The implications for RLHF training pipelines are understated. If we accept the authors' conclusions about preference stability, this has direct consequences for how we should structure reward model training. The temporal decay effect described in Section 4.2 is particularly relevant.
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