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Less than you think: Prevalence and predictors of fake news dissemination on Facebook

So-called “fake news” has renewed concerns about the prevalence and effects of misinformation in political campaigns. Given the potential for widespread dissemination of this material, we examine the individual-level characteristics associated with sharing false articles during the 2016 U.S. preside...

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Detalles Bibliográficos
Autores principales: Guess, Andrew, Nagler, Jonathan, Tucker, Joshua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326755/
https://www.ncbi.nlm.nih.gov/pubmed/30662946
http://dx.doi.org/10.1126/sciadv.aau4586
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author Guess, Andrew
Nagler, Jonathan
Tucker, Joshua
author_facet Guess, Andrew
Nagler, Jonathan
Tucker, Joshua
author_sort Guess, Andrew
collection PubMed
description So-called “fake news” has renewed concerns about the prevalence and effects of misinformation in political campaigns. Given the potential for widespread dissemination of this material, we examine the individual-level characteristics associated with sharing false articles during the 2016 U.S. presidential campaign. To do so, we uniquely link an original survey with respondents’ sharing activity as recorded in Facebook profile data. First and foremost, we find that sharing this content was a relatively rare activity. Conservatives were more likely to share articles from fake news domains, which in 2016 were largely pro-Trump in orientation, than liberals or moderates. We also find a strong age effect, which persists after controlling for partisanship and ideology: On average, users over 65 shared nearly seven times as many articles from fake news domains as the youngest age group.
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spelling pubmed-63267552019-01-18 Less than you think: Prevalence and predictors of fake news dissemination on Facebook Guess, Andrew Nagler, Jonathan Tucker, Joshua Sci Adv Research Articles So-called “fake news” has renewed concerns about the prevalence and effects of misinformation in political campaigns. Given the potential for widespread dissemination of this material, we examine the individual-level characteristics associated with sharing false articles during the 2016 U.S. presidential campaign. To do so, we uniquely link an original survey with respondents’ sharing activity as recorded in Facebook profile data. First and foremost, we find that sharing this content was a relatively rare activity. Conservatives were more likely to share articles from fake news domains, which in 2016 were largely pro-Trump in orientation, than liberals or moderates. We also find a strong age effect, which persists after controlling for partisanship and ideology: On average, users over 65 shared nearly seven times as many articles from fake news domains as the youngest age group. American Association for the Advancement of Science 2019-01-09 /pmc/articles/PMC6326755/ /pubmed/30662946 http://dx.doi.org/10.1126/sciadv.aau4586 Text en Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Guess, Andrew
Nagler, Jonathan
Tucker, Joshua
Less than you think: Prevalence and predictors of fake news dissemination on Facebook
title Less than you think: Prevalence and predictors of fake news dissemination on Facebook
title_full Less than you think: Prevalence and predictors of fake news dissemination on Facebook
title_fullStr Less than you think: Prevalence and predictors of fake news dissemination on Facebook
title_full_unstemmed Less than you think: Prevalence and predictors of fake news dissemination on Facebook
title_short Less than you think: Prevalence and predictors of fake news dissemination on Facebook
title_sort less than you think: prevalence and predictors of fake news dissemination on facebook
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326755/
https://www.ncbi.nlm.nih.gov/pubmed/30662946
http://dx.doi.org/10.1126/sciadv.aau4586
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