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Partisan asymmetries in exposure to misinformation

Online misinformation is believed to have contributed to vaccine hesitancy during the Covid-19 pandemic, highlighting concerns about social media’s destabilizing role in public life. Previous research identified a link between political conservatism and sharing misinformation; however, it is not cle...

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Autores principales: Rao, Ashwin, Morstatter, Fred, Lerman, Kristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484720/
https://www.ncbi.nlm.nih.gov/pubmed/36123387
http://dx.doi.org/10.1038/s41598-022-19837-7
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author Rao, Ashwin
Morstatter, Fred
Lerman, Kristina
author_facet Rao, Ashwin
Morstatter, Fred
Lerman, Kristina
author_sort Rao, Ashwin
collection PubMed
description Online misinformation is believed to have contributed to vaccine hesitancy during the Covid-19 pandemic, highlighting concerns about social media’s destabilizing role in public life. Previous research identified a link between political conservatism and sharing misinformation; however, it is not clear how partisanship affects how much misinformation people see online. As a result, we do not know whether partisanship drives exposure to misinformation or people selectively share misinformation despite being exposed to factual content. To address this question, we study Twitter discussions about the Covid-19 pandemic, classifying users along the political and factual spectrum based on the information sources they share. In addition, we quantify exposure through retweet interactions. We uncover partisan asymmetries in the exposure to misinformation: conservatives are more likely to see and share misinformation, and while users’ connections expose them to ideologically congruent content, the interactions between political and factual dimensions create conditions for the highly polarized users—hardline conservatives and liberals—to amplify misinformation. Overall, however, misinformation receives less attention than factual content and political moderates, the bulk of users in our sample, help filter out misinformation. Identifying the extent of polarization and how political ideology exacerbates misinformation can help public health experts and policy makers improve their messaging.
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spelling pubmed-94847202022-09-21 Partisan asymmetries in exposure to misinformation Rao, Ashwin Morstatter, Fred Lerman, Kristina Sci Rep Article Online misinformation is believed to have contributed to vaccine hesitancy during the Covid-19 pandemic, highlighting concerns about social media’s destabilizing role in public life. Previous research identified a link between political conservatism and sharing misinformation; however, it is not clear how partisanship affects how much misinformation people see online. As a result, we do not know whether partisanship drives exposure to misinformation or people selectively share misinformation despite being exposed to factual content. To address this question, we study Twitter discussions about the Covid-19 pandemic, classifying users along the political and factual spectrum based on the information sources they share. In addition, we quantify exposure through retweet interactions. We uncover partisan asymmetries in the exposure to misinformation: conservatives are more likely to see and share misinformation, and while users’ connections expose them to ideologically congruent content, the interactions between political and factual dimensions create conditions for the highly polarized users—hardline conservatives and liberals—to amplify misinformation. Overall, however, misinformation receives less attention than factual content and political moderates, the bulk of users in our sample, help filter out misinformation. Identifying the extent of polarization and how political ideology exacerbates misinformation can help public health experts and policy makers improve their messaging. Nature Publishing Group UK 2022-09-19 /pmc/articles/PMC9484720/ /pubmed/36123387 http://dx.doi.org/10.1038/s41598-022-19837-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Rao, Ashwin
Morstatter, Fred
Lerman, Kristina
Partisan asymmetries in exposure to misinformation
title Partisan asymmetries in exposure to misinformation
title_full Partisan asymmetries in exposure to misinformation
title_fullStr Partisan asymmetries in exposure to misinformation
title_full_unstemmed Partisan asymmetries in exposure to misinformation
title_short Partisan asymmetries in exposure to misinformation
title_sort partisan asymmetries in exposure to misinformation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484720/
https://www.ncbi.nlm.nih.gov/pubmed/36123387
http://dx.doi.org/10.1038/s41598-022-19837-7
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