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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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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. |
format | Online Article Text |
id | pubmed-8139392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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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