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Bots and misinformation spread on social media: Implications for COVID-19

  • McKenzie Himelein-Wachowiak
  • , Salvatore Giorgi
  • , Amanda Devoto
  • , Muhammad Rahman
  • , Lyle Ungar
  • , H. Andrew Schwartz
  • , David H. Epstein
  • , Lorenzo Leggio
  • , Brenda Curtis
  • National Institutes of Health
  • University of Pennsylvania

Research output: Contribution to journalReview articlepeer-review

187 Scopus citations

Abstract

As of March 2021, the SARS-CoV-2 virus has been responsible for over 115 million cases of COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially, so did its media coverage, resulting in a proliferation of conflicting information on social media platforms-a so-called “infodemic.” In this viewpoint, we survey past literature investigating the role of automated accounts, or “bots,” in spreading such misinformation, drawing connections to the COVID-19 pandemic. We also review strategies used by bots to spread (mis)information and examine the potential origins of bots. We conclude by conducting and presenting a secondary analysis of data sets of known bots in which we find that up to 66% of bots are discussing COVID-19. The proliferation of COVID-19 (mis)information by bots, coupled with human susceptibility to believing and sharing misinformation, may well impact the course of the pandemic.

Original languageEnglish
Article numbere26933
JournalJournal of Medical Internet Research
Volume23
Issue number5
DOIs
StatePublished - May 2021

Keywords

  • Bots
  • Coronavirus
  • COVID-19
  • Disinformation
  • Fake news
  • Infodemic
  • Infodemiology
  • Infoveillance
  • Misinformation
  • Online communities
  • Public health
  • Social listening
  • Social media
  • Spambots
  • Twitter

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