Bots and Misinformation Spread on Social Media: Implications for COVID-19.

COVID-19 Twitter bots coronavirus disinformation fake news infodemic infodemiology infoveillance misinformation online communities public health social listening social media spambots

Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
20 05 2021
Historique:
received: 04 01 2021
accepted: 16 04 2021
revised: 04 03 2021
pubmed: 22 4 2021
medline: 24 6 2021
entrez: 21 4 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33882014
pii: v23i5e26933
doi: 10.2196/26933
pmc: PMC8139392
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e26933

Informations de copyright

©McKenzie Himelein-Wachowiak, Salvatore Giorgi, Amanda Devoto, Muhammad Rahman, Lyle Ungar, H Andrew Schwartz, David H Epstein, Lorenzo Leggio, Brenda Curtis. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 20.05.2021.

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Auteurs

McKenzie Himelein-Wachowiak (M)

Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.

Salvatore Giorgi (S)

Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.
Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, United States.

Amanda Devoto (A)

Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.

Muhammad Rahman (M)

Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.

Lyle Ungar (L)

Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, United States.

H Andrew Schwartz (HA)

Department of Computer Science, Stony Brook Unversity, Stony Brook, NY, United States.

David H Epstein (DH)

Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.

Lorenzo Leggio (L)

Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.

Brenda Curtis (B)

Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.

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