Virtual community during a pandemic: A case study | Intellect Skip to content
1981
Volume 10, Issue 2-3
  • ISSN: 2046-6692
  • E-ISSN: 2046-6706

Abstract

The COVID-19 pandemic has not only resulted in millions of deaths worldwide but also ravaged the mental health of countless other individuals by the fear and isolation it has cultivated. This phenomenological case study explores how the Sid City Social Club, a virtual fandom community born from the COVID-19 pandemic, provided a social outlet that participants claimed helped buffer against these negative mental health outcomes of the pandemic. Key to participants’ experiences were the diverse identities and interests of the members of the community and the sense of support they offered their peers throughout the multiple online mediums used by the club. Special emphasis is given to the uniqueness of participating in such a virtual fandom community amidst a historical pandemic and immense global uncertainty. This study gives insight into the benefits of this type of virtual community for those experiencing social isolation for a myriad of reasons, both now and in the future.

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/content/journals/10.1386/jfs_00059_1
2023-05-08
2024-04-19
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References

  1. Baym, Nancy. ( 2018), Playing to the Crowd, New York:: New York University Press;.
    [Google Scholar]
  2. Blanchard, Anita. ( 2007;), ‘ Developing a sense of virtual community measure. ’, Cyber Psychology and Behavior, 10:6, pp. 82730.
    [Google Scholar]
  3. Booth, Paul. ( 2017), Digital Fandom 2.0: New Media Studies, , 2nd ed.., New York:: Peter Lang Publishing, Inc;.
    [Google Scholar]
  4. Cartarescu, Ioana. ( 2010;), ‘ Utility of online communities: Ways one can benefit from one’s online life. ’, Journal of Comparative Research in Anthropology and Sociology, 1:2, pp. 7991.
    [Google Scholar]
  5. Chang, Hsin Hsin,, Hsieh, Pei-Hsuan, and Chen, Su Fu. ( 2016;), ‘ The mediating role of sense of virtual community. ’, Online Information Review, 40:7, pp. 88299.
    [Google Scholar]
  6. Chiu, Chao-Min, and Huang, Hsin-Yi. ( 2015;), ‘ Examining the antecedents of user gratification and its effects on individuals’ social network services usage: The moderating role of habit. ’, European Journal of Information Systems, 24:4, pp. 41130.
    [Google Scholar]
  7. Creswell, John, and Poth, Cheryl. ( 2018), Qualitative Inquiry & Research Design: Choosing among Five Approaches, , 4th ed.., Thousand Oaks, CA:: SAGE;.
    [Google Scholar]
  8. David, Kristi. ( 2019;), ‘ Parasocial attachment with social networking sites: Finding comfort and security in those you follow online. ’, doctoral dissertation, Virginia Beach, VA:: Regent University.
    [Google Scholar]
  9. Dholakia, Utpal,, Bagozzi, Richard, and Klein Pearo, Lisa. ( 2004;), ‘ A social influence model of consumer participation in network- and small-group-based virtual communities. ’, International Journal of Research in Marketing, 21:3, pp. 24163.
    [Google Scholar]
  10. Duffet, Mark. ( 2013), Understanding Fandom: An Introduction to the Study of Media Fan Culture, London:: Bloomsbury;.
    [Google Scholar]
  11. Evans, Megan,, Lindauer, Margo, and Farrell, Maureen. ( 2020;), ‘ A pandemic within a pandemic: Intimate partner violence during Covid-19. ’, New England Journal of Medicine, 383:24, pp. 230204.
    [Google Scholar]
  12. Fletcher, Kari,, Davis Comer, Sally, and Dunlap, Andy. ( 2014;), ‘ Getting connected: The virtual holding environment. ’, Psychoanalytic Social Work, 21:1&2, pp. 90106.
    [Google Scholar]
  13. Ghebreyesus, Tedros. ( 2020;), ‘ Addressing mental health needs: An integral part of COVID-19 response. ’, World Psychiatry, 19:2, pp. 12930.
    [Google Scholar]
  14. Hills, Matt. ( 2002), Fan Cultures, Abingdon:: Routledge;.
    [Google Scholar]
  15. Jenkins, Henry. ( 2006), Convergence Culture, New York:: New York University Press;.
    [Google Scholar]
  16. Jenkins, Henry. ( 2013), Textual Poachers: Television Fans and Participatory Culture, , 2nd ed.., New York:: Routledge;.
    [Google Scholar]
  17. Jenkins, Henry,, Peters-Lazaro, Gabriel, and Shresthova, Sangita. (eds) ( 2020), Popular Culture and the Civic Imagination: Case Studies of Creative Social Change, New York:: New York University Press;.
    [Google Scholar]
  18. Kang, Inwon,, Chang Lee, Kun,, Lee, Sangjae, and Choi, Jiho. ( 2007;), ‘ Investigation of online community voluntary behavior using cognitive map. ’, Computers in Human Behavior, 23, pp. 11126.
    [Google Scholar]
  19. Kim, Jihye,, Kim, Hyung-Min, and Kim, Min-Seong. ( 2021;), ‘ The impact of a sense of virtual community on online community: Does online privacy concern matter?. ’, Internet Research, 31:2, pp. 51939.
    [Google Scholar]
  20. Kim, Min-Seong, and Kim, Hyung-Min. ( 2017;), ‘ The effect of online fan community attributes on the loyalty and cooperation of fan community members: The moderating role of connect hours. ’, Computers in Human Behavior, 68, pp. 23243.
    [Google Scholar]
  21. Kuem, Jungwong,, Khansa, Lara, and Kim, Sung. ( 2020;), ‘ Prominence and engagement: Different mechanisms regulating continuance and contribution in online communities. ’, Journal of Management Information Systems, 37:1, pp. 16290.
    [Google Scholar]
  22. Lampe, Cliff,, Wash, Rick,, Velasquez, Alcides, and Ozkaya, Elif. (eds) ( 2010;), ‘ Motivations to participate in online communities. ’, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Atlanta, GA, 10–15 April, https://dl.acm.org/doi/10.1145/1753326.1753616. Accessed 11 September 2021.
    [Google Scholar]
  23. Lin, Hsiu-Fen. ( 2008;), ‘ Determinants of successful virtual communities: Contributions from system characteristics and social factors. ’, Information & Management, 45:8, pp. 52227.
    [Google Scholar]
  24. Liu, Cindy,, Zhang, Emily,, Wong, Ga Tin Fifi,, Hyun, Sunah, and Hahm, Hyeouk. ( 2020;), ‘ Factors associated with depression, anxiety, and PTSD symptomatology during the COVID-19 pandemic: Clinical implications for U.S. young adult mental health. ’, Psychiatry Research, 290, n.pag.
    [Google Scholar]
  25. Mamonov, Stanislav,, Koufaris, Marios, and Benbunan-Fich, Raquel. ( 2016;), ‘ The role of the sense of community in the sustainability of social network sites. ’, International Journal of Electronic Commerce, 20:4, pp. 47098.
    [Google Scholar]
  26. Marotta, Lorena,, Pesce, Andrea, and Guazzini, Andrea. ( 2020;), ‘ Before and after the quarantine: An approximate study on the psychological impact of COVID-19 on the Italian population during the lockdown period. ’, Future Internet, 12, p. 229.
    [Google Scholar]
  27. Merriam, Sharan. ( 2009), Qualitative Research: A Guide to Design and Implementation, San Francisco, CA:: Jossey-Bass;.
    [Google Scholar]
  28. Mertens, Gaetan,, Gerritsen, Lotte,, Duijndam, Stefanie,, Salemink, Elske, and Engelhard, Iris. ( 2020;), ‘ Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020. ’, Journal of Anxiety Disorders, 74, n.pag.
    [Google Scholar]
  29. Moustakas, Clark. ( 1994), Phenomenological Research Methods, Thousand Oaks, CA:: SAGE;.
    [Google Scholar]
  30. Rheingold, Howard. ( 1993), The Virtual Community: Homesteading on the Electronic Frontier, Reading, MA:: Addison-Wesley Publishing Company;.
    [Google Scholar]
  31. Siddig, Alexander. ( 2021), Zoom interview with M. Knipe, 14 January.
  32. Stever, Gayle. ( 2019;), ‘ Fan studies in psychology: A road less traveled. ’, Transformative Works and Cultures, 30, pp. 113.
    [Google Scholar]
  33. Szkody, Erica, and McKinney, Cliff. ( 2019;), ‘ Stress-buffering effects of social support on depressive problems: Perceived vs. received social support and moderation by parental depressive problems. ’, Journal of Child and Family Studies, 28:8, pp. 220919.
    [Google Scholar]
  34. Szkody, Erica,, Stearns, Melanie,, Stanhope, Lydia, and McKinney, Cliff. ( 2020;), ‘ Stress-buffering role of social support during COVID-19. ’, Family Process, 60:3, pp. 100215.
    [Google Scholar]
  35. Tukachinsky, Riva, and Stever, Gayle. ( 2019;), ‘ Theorizing development of parasocial engagement. ’, Communication Theory, 29:3, pp. 297318.
    [Google Scholar]
  36. Twenge, Jean, and Joiner, Thomas. ( 2020;), ‘ Mental distress among U.S. adults during the COVID-19 pandemic. ’, Journal of Clinical Psychology, 76:12, pp. 217082.
    [Google Scholar]
  37. Vagle, Mark. ( 2018), Crafting Phenomenological Research, , 2nd ed.., London:: Routledge;.
    [Google Scholar]
  38. Yin, Robert. ( 1984), Case Study Research: Design and Methods, Thousand Oaks, CA:: SAGE;.
    [Google Scholar]
  39. Zhang, Zhongju. ( 2010;), ‘ Feeling the sense of community in social networking usage. ’, IEEE Transactions on Engineering Management, 57:2, pp. 22539.
    [Google Scholar]
  40. Knipe, Mallory R.. ( 2022;), ‘ Virtual community during a pandemic: A case study. ’, Journal of Fandom Studies, 10:2&3, pp. 11133, https://doi.org/10.1386/jfs_00059_1
    [Google Scholar]
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  • Article Type: Article
Keyword(s): Alexander Siddig; COVID-19; fandom; isolation; quarantine; social networking
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