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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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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. |
format | Online Article Text |
id | pubmed-9597167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
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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