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Bots and Misinformation Spread on Social Media: Implications for COVID-19.
Himelein-Wachowiak, McKenzie; Giorgi, Salvatore; Devoto, Amanda; Rahman, Muhammad; Ungar, Lyle; Schwartz, H Andrew; Epstein, David H; Leggio, Lorenzo; Curtis, Brenda.
  • Himelein-Wachowiak M; Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.
  • Giorgi S; Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.
  • Devoto A; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, United States.
  • Rahman M; Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.
  • Ungar L; Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.
  • Schwartz HA; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, United States.
  • Epstein DH; Department of Computer Science, Stony Brook Unversity, Stony Brook, NY, United States.
  • Leggio L; Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.
  • Curtis B; Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.
J Med Internet Res ; 23(5): e26933, 2021 05 20.
Article in English | MEDLINE | ID: covidwho-1273307
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communication / Social Media / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 26933

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communication / Social Media / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 26933