ArticleComputers in human behavior reports2022
User characteristics, social media use, and fatigue during the coronavirus pandemic: A stressor-strain-outcome framework.
Article in Computers in human behavior reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Social media fatigue in nursing students: the role of self-control, social comparison, and fear of missing out.BMC psychology · 2026Article
- The internet usage increases fear of infection with Covid-19.Scientific reports · 2025Article
- Global quality scores of Brazilian public health system-related YouTubeTM videos and their users' engagement.Brazilian oral research · 2024Article
- A two-year follow-up: Twitter activity regarding misinformation about spinal manipulation, chiropractic care and boosting immunity during the COVID-19 pandemic.Chiropractic & manual therapies · 2023Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social networking platforms allow people to connect and socialize online, but the extant research suggests that increased social media (SM) use also leads to fatigue, affecting individual well-being. During the coronavirus (COVID-19) pandemic when millions of people were confined to their homes, SM use surged, posing questions about changes in individual SM use behaviors and effects. Guided by the stressor-strain-outcome framework and SM use research, this study examined the relationship among personal factors (gender, caregiving, income), two stressors (SM use intensity and risk concern about COVID-19), and the strain of SM fatigue. Survey data of 192 U.S. adult SM users were collected in late March of 2020. Our quantitative data analysis shows that SM fatigue increased significantly as individual concern about COVID-19 increased. Meanwhile, gender and caregiving responsibilities significantly impacted SM use intensity. Surprisingly, the predicted effect of SM use intensity on SM fatigue was not supported. Additional factor analysis revealed three motives of SM use (entertainment, networking, and collaboration) and quantitative analysis revealed that only the networking use of SM increased SM fatigue significantly. The results highlight the importance of considering individual risk concern and SM use motives when studying individual SM fatigue during crises.
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