ArticleInternational journal of environmental research and public health2020
Constructing and Communicating COVID-19 Stigma on Twitter: A Content Analysis of Tweets during the Early Stage of the COVID-19 Outbreak.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Summarising data and factors associated with COVID-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis.BMC psychology · 2022Pooled it
- Effectiveness of a Video-Based Intervention on Reducing Perceptions of Fear, Loneliness, and Public Stigma Related to COVID-19: A Randomized Controlled Trial.International journal of public health · 2021Trial
- Content Analysis of Cannabis Discourses on Twitter/X in the U.S.AJPM focus · 2025Article
- News media coverage of the U.S. social safety net: themes and gaps from a scoping review.BMC public health · 2025Article
- Media portrayals and social stigma surrounding COVID-19 survivors: a content analysis of Chinese media coverage.BMC public health · 2025Article
- Exploring self-presentation posts of people with depression: themes, stigma, and identity construction.Frontiers in public health · 2025Article
- Socio-psychological factors associated with anticipated stigma toward COVID-19: a cross-sectional study in Japan.BMC public health · 2023Article
- A longitudinal study of COVID-19 disclosure stigma and COVID-19 testing hesitancy in the United States.Public health · 2022Article
- [Conspiracy theories and COVID-19: How do conspiracy beliefs arise?]L'Encephale · 2022Article
- "A Major Quality of Life Issue": A Survey-Based Analysis of the Experiences of Adults With Laryngotracheal Stenosis with Mucus and Cough.The Annals of otology, rhinology, and laryngology · 2022Article
- Combating Misinformation by Sharing the Truth: a Study on the Spread of Fact-Checks on Social Media.Information systems frontiers : a journal of research and innovation · 2022Article
- Canadian COVID-19 Crisis Communication on Twitter: Mixed Methods Research Examining Tweets from Government, Politicians, and Public Health for Crisis Communication Guiding Principles and Tweet Engagement.International journal of environmental research and public health · 2022Article
- Understanding the spread of COVID-19 misinformation on social media: The effects of topics and a political leader's nudge.Journal of the Association for Information Science and Technology · 2022Article
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- The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis.JMIR public health and surveillance · 2021Article
- Stigma toward Wuhan people during the COVID-19 epidemic: an exploratory study based on social media.BMC public health · 2021Article
- Irrational Beliefs about COVID-19: A Scoping Review.International journal of environmental research and public health · 2021Article
- Online information on face masks: analysis of websites in Italian and English returned by different search engines.BMJ open · 2021Article
- Understanding Behavioral Intentions Toward COVID-19 Vaccines: Theory-Based Content Analysis of Tweets.Journal of medical Internet research · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.