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Constructing and Communicating COVID-19 Stigma on Twitter: A Content Analysis of Tweets during the Early Stage of the COVID-19 Outbreak.
Int J Environ Res Public Health. 2020 09 19; 17(18)IJ

Abstract

This study focuses on stigma communication about COVID-19 on Twitter in the early stage of the outbreak, given the lack of information and rapid global expansion of new cases during this period. Guided by the model of stigma communication, we examine four types of message content, namely mark, group labeling, responsibility, and peril, that are instrumental in forming stigma beliefs and sharing stigma messages. We also explore whether the presence of misinformation and conspiracy theories in COVID-19-related tweets is associated with the presence of COVID-19 stigma content. A total of 155,353 unique COVID-19-related tweets posted between December 31, 2019, and March 13, 2020, were identified, from which 7000 tweets were randomly selected for manual coding. Results showed that the peril of COVID-19 was mentioned the most often, followed by mark, responsibility, and group labeling content. Tweets with conspiracy theories were more likely to include group labeling and responsibility information, but less likely to mention COVID-19 peril. Public health agencies should be aware of the unintentional stigmatization of COVID-19 in public health messages and the urgency to engage and educate the public about the facts of COVID-19.

Authors+Show Affiliations

Department of Communication Studies, The College of New Jersey, Ewing, NJ 08628, USA. Department of Public Health, The College of New Jersey, Ewing, NJ 08628, USA.Department of Public Health, The College of New Jersey, Ewing, NJ 08628, USA.Department of Public Health, The College of New Jersey, Ewing, NJ 08628, USA.Department of Public Health, The College of New Jersey, Ewing, NJ 08628, USA.Department of Communication Studies, The College of New Jersey, Ewing, NJ 08628, USA. Department of Public Health, The College of New Jersey, Ewing, NJ 08628, USA.Department of Communication Studies, The College of New Jersey, Ewing, NJ 08628, USA.School of Public Health, Georgia State University, Atlanta, GA 30303, USA.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32961702

Citation

Li, Yachao, et al. "Constructing and Communicating COVID-19 Stigma On Twitter: a Content Analysis of Tweets During the Early Stage of the COVID-19 Outbreak." International Journal of Environmental Research and Public Health, vol. 17, no. 18, 2020.
Li Y, Twersky S, Ignace K, et al. Constructing and Communicating COVID-19 Stigma on Twitter: A Content Analysis of Tweets during the Early Stage of the COVID-19 Outbreak. Int J Environ Res Public Health. 2020;17(18).
Li, Y., Twersky, S., Ignace, K., Zhao, M., Purandare, R., Bennett-Jones, B., & Weaver, S. R. (2020). Constructing and Communicating COVID-19 Stigma on Twitter: A Content Analysis of Tweets during the Early Stage of the COVID-19 Outbreak. International Journal of Environmental Research and Public Health, 17(18). https://doi.org/10.3390/ijerph17186847
Li Y, et al. Constructing and Communicating COVID-19 Stigma On Twitter: a Content Analysis of Tweets During the Early Stage of the COVID-19 Outbreak. Int J Environ Res Public Health. 2020 09 19;17(18) PubMed PMID: 32961702.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Constructing and Communicating COVID-19 Stigma on Twitter: A Content Analysis of Tweets during the Early Stage of the COVID-19 Outbreak. AU - Li,Yachao, AU - Twersky,Sylvia, AU - Ignace,Kelsey, AU - Zhao,Mei, AU - Purandare,Radhika, AU - Bennett-Jones,Breeda, AU - Weaver,Scott R, Y1 - 2020/09/19/ PY - 2020/08/20/received PY - 2020/09/15/revised PY - 2020/09/16/accepted PY - 2020/9/23/entrez PY - 2020/9/24/pubmed PY - 2020/9/29/medline KW - COVID-19 KW - Twitter KW - content analysis KW - coronavirus 2019 KW - model of stigma communication KW - stigma JF - International journal of environmental research and public health JO - Int J Environ Res Public Health VL - 17 IS - 18 N2 - This study focuses on stigma communication about COVID-19 on Twitter in the early stage of the outbreak, given the lack of information and rapid global expansion of new cases during this period. Guided by the model of stigma communication, we examine four types of message content, namely mark, group labeling, responsibility, and peril, that are instrumental in forming stigma beliefs and sharing stigma messages. We also explore whether the presence of misinformation and conspiracy theories in COVID-19-related tweets is associated with the presence of COVID-19 stigma content. A total of 155,353 unique COVID-19-related tweets posted between December 31, 2019, and March 13, 2020, were identified, from which 7000 tweets were randomly selected for manual coding. Results showed that the peril of COVID-19 was mentioned the most often, followed by mark, responsibility, and group labeling content. Tweets with conspiracy theories were more likely to include group labeling and responsibility information, but less likely to mention COVID-19 peril. Public health agencies should be aware of the unintentional stigmatization of COVID-19 in public health messages and the urgency to engage and educate the public about the facts of COVID-19. SN - 1660-4601 UR - https://news.unboundmedicine.com/medline/citation/32961702/Constructing_and_Communicating_COVID_19_Stigma_on_Twitter:_A_Content_Analysis_of_Tweets_during_the_Early_Stage_of_the_COVID_19_Outbreak_ DB - PRIME DP - Unbound Medicine ER -