Asymmetric ideological segregation in exposure to political news on Facebook.


Journal

Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511

Informations de publication

Date de publication:
28 07 2023
Historique:
medline: 31 7 2023
pubmed: 27 7 2023
entrez: 27 7 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 37499003
doi: 10.1126/science.ade7138
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

392-398

Auteurs

Sandra González-Bailón (S)

Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.

David Lazer (D)

Network Science Institute, Northeastern University, Boston, MA, USA.

Hunt Allcott (H)

Stanford Doerr School of Sustainability, Stanford University, Stanford, CA, USA.

Adriana Crespo-Tenorio (A)

Meta, Menlo Park, CA, USA.

Deen Freelon (D)

Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.

Matthew Gentzkow (M)

Department of Economics, Stanford University, Stanford, CA, USA.

Andrew M Guess (AM)

Department of Politics and School of Public and International Affairs, Princeton University, Princeton, NJ, USA.

Shanto Iyengar (S)

Department of Political Science, Stanford University, Stanford, CA, USA.

Young Mie Kim (YM)

School of Journalism and Mass Communication, University of Wisconsin-Madison, Madison, WI, USA.

Neil Malhotra (N)

Graduate School of Business, Stanford University, Stanford, CA, USA.

Brendan Nyhan (B)

Department of Government, Dartmouth College, Hanover, NH, USA.

Jennifer Pan (J)

Department of Communication, Stanford University, Stanford, CA, USA.

Carlos Velasco Rivera (CV)

Meta, Menlo Park, CA, USA.

Jaime Settle (J)

Department of Government, William & Mary, Williamsburg, VA, USA.

Emily Thorson (E)

Department of Political Science, Syracuse University, Syracuse, NY, USA.

Rebekah Tromble (R)

School of Media and Public Affairs and Institute for Data, Democracy, and Politics, The George Washington University, Washington, DC, USA.

Arjun Wilkins (A)

Meta, Menlo Park, CA, USA.

Magdalena Wojcieszak (M)

Department of Communication, University of California, Davis, Davis, CA, USA.
Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, Netherlands.

Chad Kiewiet de Jonge (CK)

Meta, Menlo Park, CA, USA.

Annie Franco (A)

Meta, Menlo Park, CA, USA.

Natalie Jomini Stroud (NJ)

Moody College of Communication, University of Texas at Austin, Austin, TX, USA.
Center for Media Engagement, University of Texas at Austin, Austin, TX, USA.

Joshua A Tucker (JA)

Wilf Family Department of Politics, New York University, New York, NY, USA.
Center for Social Media and Politics, New York University, New York, NY, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH