Changing Minds or Changing Channels?: Partisan News in an Age of Choice
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People with extreme political views are more likely to consume like-minded content.
“the people with extreme political views are more likely to consume like-minded content28,29.”
From Like-minded sources on Facebook are prevalent but not polarizing (2023) · cites this paper as [28]
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The Origins and Consequences of Affective Polarization in the United States
Iyengar, S., Lelkes, Y., Levendusky, M., Malhotra, N., & Westwood, S. J. (2019) · Annual Review of Political Science · doi:10.1146/annurev-polisci-051117-073034 · Cited by 3,317 · see citing works
Political communication in a high-choice media environment: a challenge for democracy?
Van Aelst, P., Strömbäck, J., Aalberg, T., Esser, F., de Vreese, C., Matthes, J., Hopmann, D., Salgado, S., Hubé, N., Stępińska, A., et al. (2017) · Annals of the International Communication Association · doi:10.1080/23808985.2017.1288551 · Cited by 974 · see citing works
The Hostile Audience: The Effect of Access to Broadband Internet on Partisan Affect
Lelkes, Y., Sood, G., & Iyengar, S. (2017) · American Journal of Political Science · doi:10.1111/ajps.12237 · Cited by 476 · see citing works
Does Counter-Attitudinal Information Cause Backlash? Results from Three Large Survey Experiments
Guess, A., & Coppock, A. (2020) · British Journal of Political Science · doi:10.1017/s0007123418000327 · Cited by 372 · see citing works
(Almost) Everything in Moderation: New Evidence on Americans' Online Media Diets
Guess, A. M. (2021) · American Journal of Political Science · doi:10.1111/ajps.12589 · Cited by 342 · see citing works
Ideology, Motivated Reasoning, and Cognitive Reflection: An Experimental Study
Kahan, D. M. (2012) · doi:10.2139/ssrn.2182588 · Cited by 331 · see citing works
Like-minded sources on Facebook are prevalent but not polarizing
Nyhan, B., Settle, J., Thorson, E., Wojcieszak, M., Barberá, P., Chen, A. Y., Allcott, H., Brown, T., Crespo-Tenorio, A., Dimmery, D., et al. (2023) · Nature · doi:10.1038/s41586-023-06297-w · Cited by 333 · see citing works
No Need to Watch: How the Effects of Partisan Media Can Spread via Interpersonal Discussions
Druckman, J. N., Levendusky, M. S., & McLain, A. (2018) · American Journal of Political Science · doi:10.1111/ajps.12325 · Cited by 291 · see citing works
The New Personal Influence: How Our Facebook Friends Influence the News We Read
Anspach, N. M. (2017) · Political Communication · doi:10.1080/10584609.2017.1316329 · Cited by 289 · see citing works
Cognitive–motivational mechanisms of political polarization in social-communicative contexts
Jost, J. T., Baldassarri, D. S., & Druckman, J. N. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-022-00093-5 · Cited by 276 · see citing works
Bryanov, K., & Vziatysheva, V. (2021) · PLOS ONE · doi:10.1371/journal.pone.0253717 · Cited by 211 · see citing works
Local News, Information, and the Nationalization of U.S. Elections
MOSKOWITZ, D. J. (2021) · American Political Science Review · doi:10.1017/s0003055420000829 · Cited by 149 · see citing works
Lau, R. R., Andersen, D. J., Ditonto, T. M., Kleinberg, M. S., & Redlawsk, D. P. (2017) · Political Behavior · doi:10.1007/s11109-016-9354-8 · Cited by 127 · see citing works
Lu, Y., & Lee, J. K. (2019) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699018811295 · Cited by 86 · see citing works
Googling Politics: How Offloading Affects Voting and Political Knowledge
Kleinberg, M. S., & Lau, R. R. (2021) · Political Psychology · doi:10.1111/pops.12689 · Cited by 12 · see citing works
Factual knowledge can reduce attitude polarization
Stagnaro, M. N., & Amsalem, E. (2025) · Nature Communications · doi:10.1038/s41467-025-58697-3 · Cited by 11 · see citing works
“43).”
Dahlgren, P. M. (2022) · Journal of Media Psychology · doi:10.1027/1864-1105/a000302 · Cited by 7 · see citing works
- Authors
- Arceneaux, K., & Johnson, M.
- Venue
- University of Chicago Press eBooks
- Publisher
- University of Chicago Press
- Published
- 2013
- OpenAlex
- W4243952402
- Cited by
- 450
- References
- 0
- Citations by year
- 2026: 45 · 2025: 50 · 2024: 26 · 2023: 21 · 2022: 30 · 2021: 39 · 2020: 48 · 2019: 25 · 2018: 63 · 2017: 41 · 2016: 30 · 2015: 21 · 2014: 5 · 2013: 3 · 2012: 3
- FWCI
- 14.29
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- University of Chicago Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Social Sciences › Communication › Media Studies and Communication
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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