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      Like-minded sources on Facebook are prevalent but not polarizing

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          Abstract

          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.

          Abstract

          A large-scale field intervention experiment on 23,377 US Facebook users during the 2020 presidential election shows that reducing exposure to content from like-minded social media sources has no measurable effect on political polarization or other political attitudes and beliefs.

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          Most cited references38

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          Birds of a Feather: Homophily in Social Networks

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            The Origins and Consequences of Affective Polarization in the United States

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              Political science. Exposure to ideologically diverse news and opinion on Facebook.

              Exposure to news, opinion, and civic information increasingly occurs through social media. How do these online networks influence exposure to perspectives that cut across ideological lines? Using deidentified data, we examined how 10.1 million U.S. Facebook users interact with socially shared news. We directly measured ideological homophily in friend networks and examined the extent to which heterogeneous friends could potentially expose individuals to cross-cutting content. We then quantified the extent to which individuals encounter comparatively more or less diverse content while interacting via Facebook's algorithmically ranked News Feed and further studied users' choices to click through to ideologically discordant content. Compared with algorithmic ranking, individuals' choices played a stronger role in limiting exposure to cross-cutting content.
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                Author and article information

                Contributors
                nyhan@dartmouth.edu
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                27 July 2023
                27 July 2023
                2023
                : 620
                : 7972
                : 137-144
                Affiliations
                [1 ]GRID grid.254880.3, ISNI 0000 0001 2179 2404, Department of Government, , Dartmouth College, ; Hanover, NH USA
                [2 ]GRID grid.264889.9, ISNI 0000 0001 1940 3051, Department of Government and Data Science, , William and Mary, ; Williamsburg, VA USA
                [3 ]GRID grid.264484.8, ISNI 0000 0001 2189 1568, Maxwell School of Citizenship and Public Affairs, , Syracuse University, ; Syracuse, NY USA
                [4 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Department of Communication, , University of California, ; Davis, CA USA
                [5 ]GRID grid.7177.6, ISNI 0000000084992262, Amsterdam School of Communication Research, , University of Amsterdam, ; Amsterdam, The Netherlands
                [6 ]Meta, Menlo Park, CA USA
                [7 ]GRID grid.212340.6, ISNI 0000000122985718, CUNY Institute for State and Local Governance, ; New York, NY USA
                [8 ]GRID grid.168010.e, ISNI 0000000419368956, Environmental and Energy Policy Analysis Center, , Stanford University, ; Stanford, CA USA
                [9 ]GRID grid.25879.31, ISNI 0000 0004 1936 8972, Annenberg School for Communication, , University of Pennsylvania, ; Philadelphia, PA USA
                [10 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Economics, , Stanford University, ; Stanford, CA USA
                [11 ]GRID grid.16750.35, ISNI 0000 0001 2097 5006, Department of Politics, , Princeton University, ; Princeton, NJ USA
                [12 ]GRID grid.16750.35, ISNI 0000 0001 2097 5006, School of Public and International Affairs, , Princeton University, ; Princeton, NJ USA
                [13 ]GRID grid.147455.6, ISNI 0000 0001 2097 0344, Department of Statistics and Data Science, , Carnegie Mellon University, ; Pittsburgh, PA USA
                [14 ]GRID grid.14003.36, ISNI 0000 0001 2167 3675, School of Journalism and Mass Communication, , University of Wisconsin-Madison, ; Madison, WI USA
                [15 ]GRID grid.261112.7, ISNI 0000 0001 2173 3359, Network Science Institute, , Northeastern University, ; Boston, MA USA
                [16 ]GRID grid.168010.e, ISNI 0000000419368956, Graduate School of Business, , Stanford University, ; Stanford, CA USA
                [17 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Communication, , Stanford University, ; Stanford, CA USA
                [18 ]GRID grid.253615.6, ISNI 0000 0004 1936 9510, School of Media and Public Affairs, , The George Washington University, ; Washington, DC USA
                [19 ]GRID grid.253615.6, ISNI 0000 0004 1936 9510, Institute for Data, Democracy, and Politics, , The George Washington University, ; Washington, DC USA
                [20 ]GRID grid.89336.37, ISNI 0000 0004 1936 9924, Moody College of Communication, , University of Texas at Austin, ; Austin, TX USA
                [21 ]GRID grid.89336.37, ISNI 0000 0004 1936 9924, Center for Media Engagement, , University of Texas at Austin, ; Austin, TX USA
                [22 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, Wilf Family Department of Politics, , New York University, ; New York, NY USA
                [23 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, Center for Social Media and Politics, , New York University, ; New York, NY USA
                [24 ]GRID grid.10420.37, ISNI 0000 0001 2286 1424, Present Address: Research Network Data Science, , University of Vienna, ; Vienna, Austria
                Author information
                http://orcid.org/0000-0001-7497-1799
                http://orcid.org/0000-0002-6514-801X
                http://orcid.org/0000-0002-9063-4829
                http://orcid.org/0000-0002-5284-338X
                http://orcid.org/0000-0001-5055-0316
                http://orcid.org/0000-0001-7758-8656
                http://orcid.org/0000-0002-8372-798X
                http://orcid.org/0000-0003-2974-7848
                http://orcid.org/0000-0001-6068-9274
                http://orcid.org/0000-0002-3631-8630
                http://orcid.org/0000-0002-4818-0122
                http://orcid.org/0000-0003-3875-2729
                http://orcid.org/0000-0003-3528-9986
                http://orcid.org/0000-0003-1321-8650
                Article
                6297
                10.1038/s41586-023-06297-w
                10396953
                37500978
                b5d63cf8-7c8f-4190-aded-08e963363ecb
                © The Author(s) 2023

                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/.

                History
                : 21 December 2022
                : 7 June 2023
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                © Springer Nature Limited 2023

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                politics,communication
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                politics, communication

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