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

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 platformsa so-call...

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Autores principales: Himelein-Wachowiak, McKenzie, Giorgi, Salvatore, Devoto, Amanda, Rahman, Muhammad, Ungar, Lyle, Schwartz, H Andrew, Epstein, David H, Leggio, Lorenzo, Curtis, Brenda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139392/
https://www.ncbi.nlm.nih.gov/pubmed/33882014
http://dx.doi.org/10.2196/26933
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author Himelein-Wachowiak, McKenzie
Giorgi, Salvatore
Devoto, Amanda
Rahman, Muhammad
Ungar, Lyle
Schwartz, H Andrew
Epstein, David H
Leggio, Lorenzo
Curtis, Brenda
author_facet Himelein-Wachowiak, McKenzie
Giorgi, Salvatore
Devoto, Amanda
Rahman, Muhammad
Ungar, Lyle
Schwartz, H Andrew
Epstein, David H
Leggio, Lorenzo
Curtis, Brenda
author_sort Himelein-Wachowiak, McKenzie
collection PubMed
description 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 platformsa 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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spelling pubmed-81393922021-05-25 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 J Med Internet Res Viewpoint 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 platformsa 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. JMIR Publications 2021-05-20 /pmc/articles/PMC8139392/ /pubmed/33882014 http://dx.doi.org/10.2196/26933 Text en 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. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Viewpoint
Himelein-Wachowiak, McKenzie
Giorgi, Salvatore
Devoto, Amanda
Rahman, Muhammad
Ungar, Lyle
Schwartz, H Andrew
Epstein, David H
Leggio, Lorenzo
Curtis, Brenda
Bots and Misinformation Spread on Social Media: Implications for COVID-19
title Bots and Misinformation Spread on Social Media: Implications for COVID-19
title_full Bots and Misinformation Spread on Social Media: Implications for COVID-19
title_fullStr Bots and Misinformation Spread on Social Media: Implications for COVID-19
title_full_unstemmed Bots and Misinformation Spread on Social Media: Implications for COVID-19
title_short Bots and Misinformation Spread on Social Media: Implications for COVID-19
title_sort bots and misinformation spread on social media: implications for covid-19
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139392/
https://www.ncbi.nlm.nih.gov/pubmed/33882014
http://dx.doi.org/10.2196/26933
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