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Comparative analysis of social bots and humans during the COVID-19 pandemic

Using more than 4 billion tweets and labels on more than 5 million users, this paper compares the behavior of humans and bots politically and semantically during the pandemic. Results reveal liberal bots are more central than humans in general, but less important than institutional humans as the eli...

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Autores principales: Chang, Ho-Chun Herbert, Ferrara, Emilio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244092/
https://www.ncbi.nlm.nih.gov/pubmed/35789937
http://dx.doi.org/10.1007/s42001-022-00173-9
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author Chang, Ho-Chun Herbert
Ferrara, Emilio
author_facet Chang, Ho-Chun Herbert
Ferrara, Emilio
author_sort Chang, Ho-Chun Herbert
collection PubMed
description Using more than 4 billion tweets and labels on more than 5 million users, this paper compares the behavior of humans and bots politically and semantically during the pandemic. Results reveal liberal bots are more central than humans in general, but less important than institutional humans as the elite circle grows smaller. Conservative bots are surprisingly absent when compared to prior work on political discourse, but are better than liberal bots at eliciting replies from humans, which suggest they may be perceived as human more frequently. In terms of topic and framing, conservative humans and bots disproportionately tweet about the Bill Gates and bio-weapons conspiracy, whereas the 5G conspiracy is bipartisan. Conservative humans selectively ignore mask-wearing and we observe prevalent out-group tweeting when discussing policy. We discuss and contrast how humans appear more centralized in health-related discourse as compared to political events, which suggests the importance of credibility and authenticity for public health in online information diffusion.
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spelling pubmed-92440922022-06-30 Comparative analysis of social bots and humans during the COVID-19 pandemic Chang, Ho-Chun Herbert Ferrara, Emilio J Comput Soc Sci Research Article Using more than 4 billion tweets and labels on more than 5 million users, this paper compares the behavior of humans and bots politically and semantically during the pandemic. Results reveal liberal bots are more central than humans in general, but less important than institutional humans as the elite circle grows smaller. Conservative bots are surprisingly absent when compared to prior work on political discourse, but are better than liberal bots at eliciting replies from humans, which suggest they may be perceived as human more frequently. In terms of topic and framing, conservative humans and bots disproportionately tweet about the Bill Gates and bio-weapons conspiracy, whereas the 5G conspiracy is bipartisan. Conservative humans selectively ignore mask-wearing and we observe prevalent out-group tweeting when discussing policy. We discuss and contrast how humans appear more centralized in health-related discourse as compared to political events, which suggests the importance of credibility and authenticity for public health in online information diffusion. Springer Nature Singapore 2022-06-30 2022 /pmc/articles/PMC9244092/ /pubmed/35789937 http://dx.doi.org/10.1007/s42001-022-00173-9 Text en © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Chang, Ho-Chun Herbert
Ferrara, Emilio
Comparative analysis of social bots and humans during the COVID-19 pandemic
title Comparative analysis of social bots and humans during the COVID-19 pandemic
title_full Comparative analysis of social bots and humans during the COVID-19 pandemic
title_fullStr Comparative analysis of social bots and humans during the COVID-19 pandemic
title_full_unstemmed Comparative analysis of social bots and humans during the COVID-19 pandemic
title_short Comparative analysis of social bots and humans during the COVID-19 pandemic
title_sort comparative analysis of social bots and humans during the covid-19 pandemic
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244092/
https://www.ncbi.nlm.nih.gov/pubmed/35789937
http://dx.doi.org/10.1007/s42001-022-00173-9
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