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  • [\'Department of Engineering Management and Systems Engineering, School of Engineering and Applied Science, The George Washington University, Washington, DC, United States of America.\', \'Institute for Data, Democracy and Politics, The George Washington University, Washington, DC, United States of America.\', \'George Washington University Libraries, The George Washington University, Washington, DC, United States of America.\', \'Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States of America.\', \'Department of Computer Science, University of Memphis, Memphis, TN, United States of America.\', \'Department of Family Science, Center for Health Equity, School of Public Health, University of Maryland, College Park, MD, United States of America.\', \'Department of Computer Science, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States of America.\', \'Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA, United States of America.\']
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  • -1
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  • 10.1371/journal.pone.0261768
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  • PloS one
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  • 35020727
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  • 1.164
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  • 241
?:title
  • Twitter and Facebook posts about COVID-19 are less likely to spread misinformation compared to other health topics.
?:type
?:year
  • 2022

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