• Medientyp: E-Artikel
  • Titel: Making Community Beliefs and Capacities Visible Through Care-mongering During COVID-19
  • Beteiligte: Knearem, Tiffany; Jo, Jeongwon; Tsai, Chun-Hua; Carroll, John M.
  • Erschienen: Association for Computing Machinery (ACM), 2022
  • Erschienen in: Proceedings of the ACM on Human-Computer Interaction, 6 (2022) GROUP, Seite 1-19
  • Sprache: Englisch
  • DOI: 10.1145/3492847
  • ISSN: 2573-0142
  • Schlagwörter: Computer Networks and Communications ; Human-Computer Interaction ; Social Sciences (miscellaneous)
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  • Beschreibung: <jats:p>The COVID-19 global pandemic brought forth wide-ranging, unanticipated changes in human interaction, as communities rushed to slow the spread of the coronavirus. In response, local geographic community members created grassroots care-mongering groups on social media to facilitate acts of kindness, otherwise known as care-mongering. In this paper, we are interested in understanding the types of care-mongering that take place and how such care-mongering might contribute to community collective efficacy (CCE) and community resilience during a long-haul global pandemic. We conducted a content analysis of a care-mongering group on Facebook to understand how local community members innovated and developed care-mongering practices online. We observed three facets of care-mongering: showing appreciation for helpers, coming up with ways of supporting one another's needs, and continuing social interactions online and present design recommendations for further augmenting care-mongering practices for local disaster relief in online groups.</jats:p>