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Like-minded sources on Facebook are prevalent but not polarizing

Many critics raise concerns about the prevalence of ‘echo chambers’ on social media and their potential role in increasing political polarization. However, the lack of available data and the challenges of conducting large-scale field experiments have made it difficult to assess the scope of the prob...

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Autores principales: Nyhan, Brendan, Settle, Jaime, Thorson, Emily, Wojcieszak, Magdalena, Barberá, Pablo, Chen, Annie Y., Allcott, Hunt, Brown, Taylor, Crespo-Tenorio, Adriana, Dimmery, Drew, Freelon, Deen, Gentzkow, Matthew, González-Bailón, Sandra, Guess, Andrew M., Kennedy, Edward, Kim, Young Mie, Lazer, David, Malhotra, Neil, Moehler, Devra, Pan, Jennifer, Thomas, Daniel Robert, Tromble, Rebekah, Rivera, Carlos Velasco, Wilkins, Arjun, Xiong, Beixian, de Jonge, Chad Kiewiet, Franco, Annie, Mason, Winter, Stroud, Natalie Jomini, Tucker, Joshua A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396953/
https://www.ncbi.nlm.nih.gov/pubmed/37500978
http://dx.doi.org/10.1038/s41586-023-06297-w
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author Nyhan, Brendan
Settle, Jaime
Thorson, Emily
Wojcieszak, Magdalena
Barberá, Pablo
Chen, Annie Y.
Allcott, Hunt
Brown, Taylor
Crespo-Tenorio, Adriana
Dimmery, Drew
Freelon, Deen
Gentzkow, Matthew
González-Bailón, Sandra
Guess, Andrew M.
Kennedy, Edward
Kim, Young Mie
Lazer, David
Malhotra, Neil
Moehler, Devra
Pan, Jennifer
Thomas, Daniel Robert
Tromble, Rebekah
Rivera, Carlos Velasco
Wilkins, Arjun
Xiong, Beixian
de Jonge, Chad Kiewiet
Franco, Annie
Mason, Winter
Stroud, Natalie Jomini
Tucker, Joshua A.
author_facet Nyhan, Brendan
Settle, Jaime
Thorson, Emily
Wojcieszak, Magdalena
Barberá, Pablo
Chen, Annie Y.
Allcott, Hunt
Brown, Taylor
Crespo-Tenorio, Adriana
Dimmery, Drew
Freelon, Deen
Gentzkow, Matthew
González-Bailón, Sandra
Guess, Andrew M.
Kennedy, Edward
Kim, Young Mie
Lazer, David
Malhotra, Neil
Moehler, Devra
Pan, Jennifer
Thomas, Daniel Robert
Tromble, Rebekah
Rivera, Carlos Velasco
Wilkins, Arjun
Xiong, Beixian
de Jonge, Chad Kiewiet
Franco, Annie
Mason, Winter
Stroud, Natalie Jomini
Tucker, Joshua A.
author_sort Nyhan, Brendan
collection PubMed
description Many critics raise concerns about the prevalence of ‘echo chambers’ on social media and their potential role in increasing political polarization. However, the lack of available data and the challenges of conducting large-scale field experiments have made it difficult to assess the scope of the problem(1,2). Here we present data from 2020 for the entire population of active adult Facebook users in the USA showing that content from ‘like-minded’ sources constitutes the majority of what people see on the platform, although political information and news represent only a small fraction of these exposures. To evaluate a potential response to concerns about the effects of echo chambers, we conducted a multi-wave field experiment on Facebook among 23,377 users for whom we reduced exposure to content from like-minded sources during the 2020 US presidential election by about one-third. We found that the intervention increased their exposure to content from cross-cutting sources and decreased exposure to uncivil language, but had no measurable effects on eight preregistered attitudinal measures such as affective polarization, ideological extremity, candidate evaluations and belief in false claims. These precisely estimated results suggest that although exposure to content from like-minded sources on social media is common, reducing its prevalence during the 2020 US presidential election did not correspondingly reduce polarization in beliefs or attitudes.
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spelling pubmed-103969532023-08-04 Like-minded sources on Facebook are prevalent but not polarizing Nyhan, Brendan Settle, Jaime Thorson, Emily Wojcieszak, Magdalena Barberá, Pablo Chen, Annie Y. Allcott, Hunt Brown, Taylor Crespo-Tenorio, Adriana Dimmery, Drew Freelon, Deen Gentzkow, Matthew González-Bailón, Sandra Guess, Andrew M. Kennedy, Edward Kim, Young Mie Lazer, David Malhotra, Neil Moehler, Devra Pan, Jennifer Thomas, Daniel Robert Tromble, Rebekah Rivera, Carlos Velasco Wilkins, Arjun Xiong, Beixian de Jonge, Chad Kiewiet Franco, Annie Mason, Winter Stroud, Natalie Jomini Tucker, Joshua A. Nature Article Many critics raise concerns about the prevalence of ‘echo chambers’ on social media and their potential role in increasing political polarization. However, the lack of available data and the challenges of conducting large-scale field experiments have made it difficult to assess the scope of the problem(1,2). Here we present data from 2020 for the entire population of active adult Facebook users in the USA showing that content from ‘like-minded’ sources constitutes the majority of what people see on the platform, although political information and news represent only a small fraction of these exposures. To evaluate a potential response to concerns about the effects of echo chambers, we conducted a multi-wave field experiment on Facebook among 23,377 users for whom we reduced exposure to content from like-minded sources during the 2020 US presidential election by about one-third. We found that the intervention increased their exposure to content from cross-cutting sources and decreased exposure to uncivil language, but had no measurable effects on eight preregistered attitudinal measures such as affective polarization, ideological extremity, candidate evaluations and belief in false claims. These precisely estimated results suggest that although exposure to content from like-minded sources on social media is common, reducing its prevalence during the 2020 US presidential election did not correspondingly reduce polarization in beliefs or attitudes. Nature Publishing Group UK 2023-07-27 2023 /pmc/articles/PMC10396953/ /pubmed/37500978 http://dx.doi.org/10.1038/s41586-023-06297-w Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Nyhan, Brendan
Settle, Jaime
Thorson, Emily
Wojcieszak, Magdalena
Barberá, Pablo
Chen, Annie Y.
Allcott, Hunt
Brown, Taylor
Crespo-Tenorio, Adriana
Dimmery, Drew
Freelon, Deen
Gentzkow, Matthew
González-Bailón, Sandra
Guess, Andrew M.
Kennedy, Edward
Kim, Young Mie
Lazer, David
Malhotra, Neil
Moehler, Devra
Pan, Jennifer
Thomas, Daniel Robert
Tromble, Rebekah
Rivera, Carlos Velasco
Wilkins, Arjun
Xiong, Beixian
de Jonge, Chad Kiewiet
Franco, Annie
Mason, Winter
Stroud, Natalie Jomini
Tucker, Joshua A.
Like-minded sources on Facebook are prevalent but not polarizing
title Like-minded sources on Facebook are prevalent but not polarizing
title_full Like-minded sources on Facebook are prevalent but not polarizing
title_fullStr Like-minded sources on Facebook are prevalent but not polarizing
title_full_unstemmed Like-minded sources on Facebook are prevalent but not polarizing
title_short Like-minded sources on Facebook are prevalent but not polarizing
title_sort like-minded sources on facebook are prevalent but not polarizing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396953/
https://www.ncbi.nlm.nih.gov/pubmed/37500978
http://dx.doi.org/10.1038/s41586-023-06297-w
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