Examining Social Support Conversations on Reddit During COVID-19 Using Computational Methods.

IF 3 3区 医学 Q1 COMMUNICATION
Qinghua Yang, Zhifan Luo, Andrew M Ledbetter
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引用次数: 0

Abstract

Public health crises like the COVID-19 pandemic have posed unprecedented challenges to both physical and mental health. To better understand related social support conversations on online support groups, and how the topics of these conversations are associated with producing conversation and with authors' mental health status, we analyzed 65,004 posts and comments on the subreddit r/COVID19_support using structural topic modeling. Among the 22 valid topics identified, those that attracted more user engagement addressed uncertainty about prospective situations, national and international news, sending condolences regarding loss, and the dangerous impact of the pandemic. More importantly, topics related to giving esteem (e.g. sending encouragement to boost others' self-efficacy, expressing appreciation) and emotional support (e.g. sending regards and condolences) were consistently and negatively associated with authors' anxiety and mental illness during the pandemic. In the same vein, providing informational support by updating situations related to the health impact and political, media, and working environment during the pandemic were also associated with reduced anxiety and mental illness. Theoretical and practical implications are discussed.

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来源期刊
CiteScore
8.20
自引率
10.30%
发文量
184
期刊介绍: As an outlet for scholarly intercourse between medical and social sciences, this noteworthy journal seeks to improve practical communication between caregivers and patients and between institutions and the public. Outstanding editorial board members and contributors from both medical and social science arenas collaborate to meet the challenges inherent in this goal. Although most inclusions are data-based, the journal also publishes pedagogical, methodological, theoretical, and applied articles using both quantitative or qualitative methods.
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