ArticleComputers in human behavior reports
Social media as a modern Emergency Broadcast System: A longitudinal qualitative study of social media during COVID-19 and its impacts on social connection and social distancing compliance.
Article in Computers in human behavior reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Towards evidence-based and inclusive models of peer support for long covid: A hermeneutic systematic review.Social science & medicine (1982) · 2023Pooled it
- Real-Life Emotional Support, Social-Media-Based Emotional Support, and Loneliness Among US Adults: A Nationally Representative Study.Journal of general internal medicine · 2026Article
- Adapting to Lockdown: Exploring Stress Coping Strategies on Short Video Social Media During the COVID-19 Pandemic [Response to Letter].Psychology research and behavior management · 2024Article
- Observational
- Impact of the COVID-19 Pandemic on Canadian Social Connections: A Thematic Analysis.Journal of social and personal relationships · 2023Article
- Older Adults' Computer-Mediated Communication (CMC) Engagement Following COVID-19 and Its Impact on Access to Community, Information, and Resource Exchange: A Longitudinal, Qualitative Study.Gerontology & geriatric medicineArticle
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the wake of COVID-19 social distancing recommendations, social media assumed a central - if unofficial - role in ensuring that individuals remained informed and connected throughout the pandemic. Yet while research shows that social media can be an effective platform for connecting individuals socially and fostering social support exchanges, both the platforms and the support exchanged therein have been mired in considerable controversies regarding their use as a tool for positive social engagement. The goal of this study is to qualitatively evaluate longitudinal changes to social media engagement during social distancing recommendations and orders to shelter-in-place. To do this, we collected longitudinal, qualitative survey data from a group of adults over the eight weeks during which most states had issued orders to shelter-in-place. We analyze data for evidence of social connection, stress reduction, and support exchange, and evaluate the impact of online social ties on staying informed and on compliance with CDC recommendations and shelter-in-place orders. Results showed a clear longitudinal evolution of users' online social engagement. Early use was characterized by agentic purposeful engagement, information sharing, and community resource mobilization. However, over time these patterns gave way to more passive use characterized by listlessness, contentiousness and misinformation as the pandemic wore on in weeks. As social media comes to occupy an increasingly important role in the exchange of information (and misinformation) this study has important implications for the health of users and the role of social media in future disasters, including how social media impacts both stress and health related behaviors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.