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Accepted manuscript

Analyzing Social Media Messaging on Masks and Vaccines: A Case Study on Misinformation During the COVID-19 Pandemic

Published online by Cambridge University Press:  10 January 2023

Marc Trotochaud*
Affiliation:
Johns Hopkins Center for Health Security, Baltimore, MD 21202
Elizabeth Smith
Affiliation:
Denver Health, Denver, CO 80204
Divya Hosangadi
Affiliation:
Johns Hopkins Center for Health Security, Baltimore, MD 21202
Tara Kirk Sell
Affiliation:
Johns Hopkins Center for Health Security, Baltimore, MD 21202
*
*Corresponding author: E-mail: ufl3@cdc.gov
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Abstract

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Misinformation and disinformation during infectious disease outbreaks can hinder public health responses. This analysis examines comments about masks and COVID-19 vaccines on Twitter during the first six months of the COVID-19 pandemic. We conducted a content analysis of 6,600 randomly selected English-language tweets, examining tweets for health, political, of societal frames; inclusion of true information, false information, partially true/misleading information, and/or opinion; political components; risk frames; and use of specific types of rumor. We found false and partially false information in 22% of tweets in which we were able to assess veracity. Tweets with misinformation were more likely to mention vaccines, be political in nature, and promote risk elevating messages (p<0.5). We also found false information about vaccines as early as January 2020, nearly a year before COVID-19 vaccines became widely available. These findings highlight a need for new policies and strategies aimed to counter harmful and misleading messaging.

Type
Brief Report
Copyright
© 2023 Society for Disaster Medicine and Public Health, Inc.