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Bots increase exposure to negative and inflammatory content in online social systems

Societies are complex systems, which tend to polarize into subgroups of individuals with dramatically opposite perspectives. This phenomenon is reflected—and often amplified—in online social networks, where, however, humans are no longer the only players and coexist alongside with social bots—that i...

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Detalles Bibliográficos
Autores principales: Stella, Massimo, Ferrara, Emilio, De Domenico, Manlio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6298098/
https://www.ncbi.nlm.nih.gov/pubmed/30459270
http://dx.doi.org/10.1073/pnas.1803470115
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author Stella, Massimo
Ferrara, Emilio
De Domenico, Manlio
author_facet Stella, Massimo
Ferrara, Emilio
De Domenico, Manlio
author_sort Stella, Massimo
collection PubMed
description Societies are complex systems, which tend to polarize into subgroups of individuals with dramatically opposite perspectives. This phenomenon is reflected—and often amplified—in online social networks, where, however, humans are no longer the only players and coexist alongside with social bots—that is, software-controlled accounts. Analyzing large-scale social data collected during the Catalan referendum for independence on October 1, 2017, consisting of nearly 4 millions Twitter posts generated by almost 1 million users, we identify the two polarized groups of Independentists and Constitutionalists and quantify the structural and emotional roles played by social bots. We show that bots act from peripheral areas of the social system to target influential humans of both groups, bombarding Independentists with violent contents, increasing their exposure to negative and inflammatory narratives, and exacerbating social conflict online. Our findings stress the importance of developing countermeasures to unmask these forms of automated social manipulation.
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spelling pubmed-62980982018-12-21 Bots increase exposure to negative and inflammatory content in online social systems Stella, Massimo Ferrara, Emilio De Domenico, Manlio Proc Natl Acad Sci U S A Social Sciences Societies are complex systems, which tend to polarize into subgroups of individuals with dramatically opposite perspectives. This phenomenon is reflected—and often amplified—in online social networks, where, however, humans are no longer the only players and coexist alongside with social bots—that is, software-controlled accounts. Analyzing large-scale social data collected during the Catalan referendum for independence on October 1, 2017, consisting of nearly 4 millions Twitter posts generated by almost 1 million users, we identify the two polarized groups of Independentists and Constitutionalists and quantify the structural and emotional roles played by social bots. We show that bots act from peripheral areas of the social system to target influential humans of both groups, bombarding Independentists with violent contents, increasing their exposure to negative and inflammatory narratives, and exacerbating social conflict online. Our findings stress the importance of developing countermeasures to unmask these forms of automated social manipulation. National Academy of Sciences 2018-12-04 2018-11-20 /pmc/articles/PMC6298098/ /pubmed/30459270 http://dx.doi.org/10.1073/pnas.1803470115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Social Sciences
Stella, Massimo
Ferrara, Emilio
De Domenico, Manlio
Bots increase exposure to negative and inflammatory content in online social systems
title Bots increase exposure to negative and inflammatory content in online social systems
title_full Bots increase exposure to negative and inflammatory content in online social systems
title_fullStr Bots increase exposure to negative and inflammatory content in online social systems
title_full_unstemmed Bots increase exposure to negative and inflammatory content in online social systems
title_short Bots increase exposure to negative and inflammatory content in online social systems
title_sort bots increase exposure to negative and inflammatory content in online social systems
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6298098/
https://www.ncbi.nlm.nih.gov/pubmed/30459270
http://dx.doi.org/10.1073/pnas.1803470115
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