| Literature DB >> 33882014 |
McKenzie Himelein-Wachowiak1, Salvatore Giorgi1,2, Amanda Devoto1, Muhammad Rahman1, Lyle Ungar2, H Andrew Schwartz3, David H Epstein1, Lorenzo Leggio1, Brenda Curtis1.
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. ©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.Entities:
Keywords: COVID-19; Twitter; bots; coronavirus; disinformation; fake news; infodemic; infodemiology; infoveillance; misinformation; online communities; public health; social listening; social media; spambots
Year: 2021 PMID: 33882014 DOI: 10.2196/26933
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428