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

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Online discussions about COVID-19 support reveal that offering emotional and informational support, such as encouragement and updates, is linked to reduced anxiety and mental illness for authors.

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Area of Science:

  • Public Health
  • Computational Social Science
  • Mental Health Research

Background:

  • The COVID-19 pandemic significantly impacted global physical and mental health.
  • Online communities serve as crucial platforms for social support during crises.
  • Understanding online support dynamics is vital for mental health interventions.

Purpose of the Study:

  • To analyze social support conversations on an online COVID-19 support group.
  • To investigate the association between conversation topics and user engagement.
  • To examine the relationship between conversation topics and authors' mental health status.

Main Methods:

  • Utilized structural topic modeling to analyze 65,004 posts and comments from the subreddit r/COVID19_support.
  • Identified 22 distinct topics within the online discussions.
  • Correlated topic prevalence with user engagement and author-reported mental health indicators.

Main Results:

  • Topics attracting high engagement included prospective uncertainty, national/international news, condolences, and pandemic impact.
  • Providing esteem support (encouragement, appreciation) and emotional support (regards, condolences) correlated with lower author anxiety and mental illness.
  • Informational support (health, political, media, work updates) also associated with reduced anxiety and mental illness.

Conclusions:

  • Social support in online forums, particularly esteem and informational, can mitigate negative mental health outcomes during pandemics.
  • The findings highlight the therapeutic potential of online support communities.
  • Implications for public health strategies and digital mental health interventions are discussed.