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Asymmetric ideological segregation in exposure to political news on Facebook.
González-Bailón, Sandra; Lazer, David; Barberá, Pablo; Zhang, Meiqing; Allcott, Hunt; Brown, Taylor; Crespo-Tenorio, Adriana; Freelon, Deen; Gentzkow, Matthew; Guess, Andrew M; Iyengar, Shanto; Kim, Young Mie; Malhotra, Neil; Moehler, Devra; Nyhan, Brendan; Pan, Jennifer; Rivera, Carlos Velasco; Settle, Jaime; Thorson, Emily; Tromble, Rebekah; Wilkins, Arjun; Wojcieszak, Magdalena; de Jonge, Chad Kiewiet; Franco, Annie; Mason, Winter; Stroud, Natalie Jomini; Tucker, Joshua A.
Afiliação
  • González-Bailón S; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.
  • Lazer D; Network Science Institute, Northeastern University, Boston, MA, USA.
  • Barberá P; Meta, Menlo Park, CA, USA.
  • Zhang M; Meta, Menlo Park, CA, USA.
  • Allcott H; Stanford Doerr School of Sustainability, Stanford University, Stanford, CA, USA.
  • Brown T; Meta, Menlo Park, CA, USA.
  • Crespo-Tenorio A; Meta, Menlo Park, CA, USA.
  • Freelon D; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.
  • Gentzkow M; Department of Economics, Stanford University, Stanford, CA, USA.
  • Guess AM; Department of Politics and School of Public and International Affairs, Princeton University, Princeton, NJ, USA.
  • Iyengar S; Department of Political Science, Stanford University, Stanford, CA, USA.
  • Kim YM; School of Journalism and Mass Communication, University of Wisconsin-Madison, Madison, WI, USA.
  • Malhotra N; Graduate School of Business, Stanford University, Stanford, CA, USA.
  • Moehler D; Meta, Menlo Park, CA, USA.
  • Nyhan B; Department of Government, Dartmouth College, Hanover, NH, USA.
  • Pan J; Department of Communication, Stanford University, Stanford, CA, USA.
  • Rivera CV; Meta, Menlo Park, CA, USA.
  • Settle J; Department of Government, William & Mary, Williamsburg, VA, USA.
  • Thorson E; Department of Political Science, Syracuse University, Syracuse, NY, USA.
  • Tromble R; School of Media and Public Affairs and Institute for Data, Democracy, and Politics, The George Washington University, Washington, DC, USA.
  • Wilkins A; Meta, Menlo Park, CA, USA.
  • Wojcieszak M; Department of Communication, University of California, Davis, Davis, CA, USA.
  • de Jonge CK; Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, Netherlands.
  • Franco A; Meta, Menlo Park, CA, USA.
  • Mason W; Meta, Menlo Park, CA, USA.
  • Stroud NJ; Meta, Menlo Park, CA, USA.
  • Tucker JA; Moody College of Communication, University of Texas at Austin, Austin, TX, USA.
Science ; 381(6656): 392-398, 2023 07 28.
Article em En | MEDLINE | ID: mdl-37499003
ABSTRACT
Does Facebook enable ideological segregation in political news consumption? We analyzed exposure to news during the US 2020 election using aggregated data for 208 million US Facebook users. We compared the inventory of all political news that users could have seen in their feeds with the information that they saw (after algorithmic curation) and the information with which they engaged. We show that (i) ideological segregation is high and increases as we shift from potential exposure to actual exposure to engagement; (ii) there is an asymmetry between conservative and liberal audiences, with a substantial corner of the news ecosystem consumed exclusively by conservatives; and (iii) most misinformation, as identified by Meta's Third-Party Fact-Checking Program, exists within this homogeneously conservative corner, which has no equivalent on the liberal side. Sources favored by conservative audiences were more prevalent on Facebook's news ecosystem than those favored by liberals.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Política / Mídias Sociais Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Science Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Política / Mídias Sociais Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Science Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos