Fishing for Validation: Understanding Promises and Challenges of a Private Social Media Group for COVID-19 Long-Hauler Patients

dc.contributor.authorKarra, Abhinav Reddy
dc.contributor.authorJaiswal, Ranjan
dc.contributor.authorDey, Sanorita
dc.date.accessioned2023-05-18T15:51:05Z
dc.date.available2023-05-18T15:51:05Z
dc.date.issued2023-04-16
dc.descriptionProceedings of the ACM on Human-Computer Interaction, Volume 7, Issue CSCW1
dc.description.abstractThe COVID-19 pandemic has affected more than 301 million people worldwide so far. Many communities (such as minority communities) suffered disproportionately more difficulties throughout the pandemic. In this paper, we would like to focus on one such community: COVID-19 long-haulers community. Long-hauler community consists of people affected by Coronavirus, but their symptoms do not cure in a couple of weeks; instead, they experience lingering symptoms for months. The concerns of this community were initially ignored by health care providers primarily because of limited information. In this paper, we have analyzed the social media discussion of a private Facebook group dedicated to the long-hauler community. In addition, we interviewed the community members to investigate their motivations for joining the group and how the group has impacted their lives as long-hauler patients. Our analyses revealed the primary discussion topics of this community. It also showed how a minority community could stand by each other using social media groups during a crisis. We concluded the paper with long-term implications of our findings for health care systems, policies, and existing literature on cooperative AI.en_US
dc.description.urihttps://dl.acm.org/doi/abs/10.1145/3579487en_US
dc.format.extent34 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/m2iyur-6mk0
dc.identifier.citationKarra, Abhinav Reddy, et al. "Fishing for Validation: Understanding Promises and Challenges of a Private Social Media Group for COVID-19 Long-Hauler Patients " Proceedings of the ACM on Human-Computer Interaction 7, CSCW1, no. 54 (April 2023): 1-34. https://doi.org/10.1145/3579487.en_US
dc.identifier.urihttps://doi.org/10.1145/3579487
dc.identifier.urihttp://hdl.handle.net/11603/28010
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsPermission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org.en_US
dc.titleFishing for Validation: Understanding Promises and Challenges of a Private Social Media Group for COVID-19 Long-Hauler Patientsen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-4566-2935en_US
dcterms.creatorhttps://orcid.org/0000-0002-4845-0102en_US
dcterms.creatorhttps://orcid.org/0000-0003-3346-5886en_US

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