Asymmetric ideological segregation in exposure to political news on Facebook

Sandra González-Bailón; David Lazer; Pablo Barberá; Meiqing Zhang; Hunt Allcott; Taylor Brown; Adriana Crespo-Tenorio; Deen Freelon; Matthew Gentzkow; Andrew M. Guess; Shanto Iyengar; Young Mie Kim; Neil Malhotra; Devra Moehler; Brendan Nyhan; Jennifer Pan; Carlos Velasco Rivera; Jaime Settle; Emily Thorson; Rebekah Tromble; Arjun Wilkins; Magdalena Wojcieszak; Chad Kiewiet De Jonge; Annie Franco; Winter Mason; Natalie Jomini Stroud; Joshua A. Tucker

doi:10.1126/science.ade7138

Asymmetric ideological segregation in exposure to political news on Facebook

Sandra González-Bailón, David Lazer, Pablo Barberá, Meiqing Zhang, Hunt Allcott, Taylor Brown, Adriana Crespo-Tenorio, Deen Freelon, Matthew Gentzkow, Andrew M. Guess, Shanto Iyengar, Young Mie Kim, Neil Malhotra, Devra Moehler, Brendan Nyhan, Jennifer Pan, Carlos Velasco Rivera, Jaime Settle, Emily Thorson, Rebekah TrombleArjun Wilkins, Magdalena Wojcieszak, Chad Kiewiet De Jonge, Annie Franco, Winter Mason, Natalie Jomini Stroud, Joshua A. Tucker

Princeton School of Public and International Affairs

Research output: Contribution to journal › Article › peer-review

125 Scopus citations

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.

Original language	English (US)
Pages (from-to)	392-398
Number of pages	7
Journal	Science
Volume	381
Issue number	6656
DOIs	https://doi.org/10.1126/science.ade7138
State	Published - Jul 28 2023

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González-Bailón, S., Lazer, D., Barberá, P., Zhang, M., Allcott, H., Brown, T., Crespo-Tenorio, A., Freelon, D., Gentzkow, M., Guess, A. M., Iyengar, S., Kim, Y. M., Malhotra, N., Moehler, D., Nyhan, B., Pan, J., Rivera, C. V., Settle, J., Thorson, E., ... Tucker, J. A. (2023). Asymmetric ideological segregation in exposure to political news on Facebook. Science, 381(6656), 392-398. https://doi.org/10.1126/science.ade7138

@article{4a449bce152e44c7b85414c37123fdb1,

title = "Asymmetric ideological segregation in exposure to political news on Facebook",

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.",

author = "Sandra Gonz{\'a}lez-Bail{\'o}n and David Lazer and Pablo Barber{\'a} and Meiqing Zhang and Hunt Allcott and Taylor Brown and Adriana Crespo-Tenorio and Deen Freelon and Matthew Gentzkow and Guess, {Andrew M.} and Shanto Iyengar and Kim, {Young Mie} and Neil Malhotra and Devra Moehler and Brendan Nyhan and Jennifer Pan and Rivera, {Carlos Velasco} and Jaime Settle and Emily Thorson and Rebekah Tromble and Arjun Wilkins and Magdalena Wojcieszak and {De Jonge}, {Chad Kiewiet} and Annie Franco and Winter Mason and Stroud, {Natalie Jomini} and Tucker, {Joshua A.}",

note = "Publisher Copyright: {\textcopyright} 2023 The Authors.",

year = "2023",

month = jul,

day = "28",

doi = "10.1126/science.ade7138",

language = "English (US)",

volume = "381",

pages = "392--398",

journal = "Science",

issn = "0036-8075",

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González-Bailón, S, Lazer, D, Barberá, P, Zhang, M, Allcott, H, Brown, T, Crespo-Tenorio, A, Freelon, D, Gentzkow, M, Guess, AM, Iyengar, S, Kim, YM, Malhotra, N, Moehler, D, Nyhan, B, Pan, J, Rivera, CV, Settle, J, Thorson, E, Tromble, R, Wilkins, A, Wojcieszak, M, De Jonge, CK, Franco, A, Mason, W, Stroud, NJ & Tucker, JA 2023, 'Asymmetric ideological segregation in exposure to political news on Facebook', Science, vol. 381, no. 6656, pp. 392-398. https://doi.org/10.1126/science.ade7138

TY - JOUR

T1 - Asymmetric ideological segregation in exposure to political news on Facebook

AU - González-Bailón, Sandra

AU - Lazer, David

AU - Barberá, Pablo

AU - Zhang, Meiqing

AU - Allcott, Hunt

AU - Brown, Taylor

AU - Crespo-Tenorio, Adriana

AU - Freelon, Deen

AU - Gentzkow, Matthew

AU - Guess, Andrew M.

AU - Iyengar, Shanto

AU - Kim, Young Mie

AU - Malhotra, Neil

AU - Moehler, Devra

AU - Nyhan, Brendan

AU - Pan, Jennifer

AU - Rivera, Carlos Velasco

AU - Settle, Jaime

AU - Thorson, Emily

AU - Tromble, Rebekah

AU - Wilkins, Arjun

AU - Wojcieszak, Magdalena

AU - De Jonge, Chad Kiewiet

AU - Franco, Annie

AU - Mason, Winter

AU - Stroud, Natalie Jomini

AU - Tucker, Joshua A.

PY - 2023/7/28

Y1 - 2023/7/28

N2 - 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.

AB - 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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SP - 392

EP - 398

JO - Science

JF - Science

IS - 6656

ER -

Asymmetric ideological segregation in exposure to political news on Facebook

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