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The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing

Online platforms play a relevant role in the creation and diffusion of false or misleading news. Concerningly, the COVID-19 pandemic is shaping a communication network which reflects the emergence of collective attention towards a topic that rapidly gained universal interest. Here, we characterize t...

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Detalles Bibliográficos
Autores principales: Castioni, Piergiorgio, Andrighetto, Giulia, Gallotti, Riccardo, Polizzi, Eugenia, De Domenico, Manlio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597167/
https://www.ncbi.nlm.nih.gov/pubmed/36303937
http://dx.doi.org/10.1098/rsos.220716
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author Castioni, Piergiorgio
Andrighetto, Giulia
Gallotti, Riccardo
Polizzi, Eugenia
De Domenico, Manlio
author_facet Castioni, Piergiorgio
Andrighetto, Giulia
Gallotti, Riccardo
Polizzi, Eugenia
De Domenico, Manlio
author_sort Castioni, Piergiorgio
collection PubMed
description Online platforms play a relevant role in the creation and diffusion of false or misleading news. Concerningly, the COVID-19 pandemic is shaping a communication network which reflects the emergence of collective attention towards a topic that rapidly gained universal interest. Here, we characterize the dynamics of this network on Twitter, analysing how unreliable content distributes among its users. We find that a minority of accounts is responsible for the majority of the misinformation circulating online, and identify two categories of users: a few active ones, playing the role of ‘creators’, and a majority playing the role of ‘consumers’. The relative proportion of these groups (approx. 14% creators—86% consumers) appears stable over time: consumers are mostly exposed to the opinions of a vocal minority of creators (which are the origin of 82% of fake content in our data), that could be mistakenly understood as representative of the majority of users. The corresponding pressure from a perceived majority is identified as a potential driver of the ongoing COVID-19 infodemic.
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spelling pubmed-95971672022-10-26 The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing Castioni, Piergiorgio Andrighetto, Giulia Gallotti, Riccardo Polizzi, Eugenia De Domenico, Manlio R Soc Open Sci Physics and Biophysics Online platforms play a relevant role in the creation and diffusion of false or misleading news. Concerningly, the COVID-19 pandemic is shaping a communication network which reflects the emergence of collective attention towards a topic that rapidly gained universal interest. Here, we characterize the dynamics of this network on Twitter, analysing how unreliable content distributes among its users. We find that a minority of accounts is responsible for the majority of the misinformation circulating online, and identify two categories of users: a few active ones, playing the role of ‘creators’, and a majority playing the role of ‘consumers’. The relative proportion of these groups (approx. 14% creators—86% consumers) appears stable over time: consumers are mostly exposed to the opinions of a vocal minority of creators (which are the origin of 82% of fake content in our data), that could be mistakenly understood as representative of the majority of users. The corresponding pressure from a perceived majority is identified as a potential driver of the ongoing COVID-19 infodemic. The Royal Society 2022-10-26 /pmc/articles/PMC9597167/ /pubmed/36303937 http://dx.doi.org/10.1098/rsos.220716 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Physics and Biophysics
Castioni, Piergiorgio
Andrighetto, Giulia
Gallotti, Riccardo
Polizzi, Eugenia
De Domenico, Manlio
The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing
title The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing
title_full The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing
title_fullStr The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing
title_full_unstemmed The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing
title_short The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing
title_sort voice of few, the opinions of many: evidence of social biases in twitter covid-19 fake news sharing
topic Physics and Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597167/
https://www.ncbi.nlm.nih.gov/pubmed/36303937
http://dx.doi.org/10.1098/rsos.220716
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