Red Media, Blue Media: Evidence of Ideological Selectivity in Media Use
Abstract
We show that the demand for news varies with the perceived affinity of the news organization to the consumer’s political preferences. In an experimental setting, conservatives and Republicans preferred to read news reports attributed to Fox News and to avoid news from CNN and NPR. Democrats and liberals exhibited exactly the opposite syndrome—dividing their attention equally between CNN and NPR, but avoiding Fox News. This pattern of selective exposure based on partisan affinity held not only for news coverage of controversial issues but also for relatively “soft” subjects such as crime and travel. The tendency to select news based on anticipated agreement was also strengthened among more politically engaged partisans. Overall, these results suggest that the further proliferation of new media and enhanced media choices may contribute to the further polarization of the news audience.
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The directional (or defensive) motivation leads to selective exposure, encouraging individuals to seek information or news sources congenial to their existing attitudes.
“The directional (or defensive) motivation leads to selective exposure, encouraging individuals to seek information (or news sources) that they believe is congenial to their existing attitudes (Iyengar & Hahn, 2009;Stroud, 2011).”
From Do Search Algorithms Endanger Democracy? An Experimental Investigation of Algorithm Effects on Political Polarization (2020) · cites this paper as Iyengar & Hahn, 2009
Individuals are being increasingly exposed to only information that reinforces their existing views, avoiding challenging opinions.
“As a result of this transformation, individuals are being increasingly exposed to only information that reinforces their existing views, thus avoiding challenging opinions (Sunstein 2001; Garrett 2009; Iyengar and Hahn 2009).”
From Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data (2015) · cites this paper as Iyengar and Hahn 2009
This generates an echo-chamber environment that fosters social extremism and political polarization.
“This generates a so-called echo-chamber environment that fosters social extremism and political polarization.”
From Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data (2015) · cites this paper as Iyengar and Hahn 2009
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- Authors
- Iyengar, S., & Hahn, K. S.
- Affiliations
- Stanford University (US)
- University of California, Los Angeles (US)
- ORCID
- Iyengar, Shanto
- Venue
- Journal of Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-03
- Volume
- 59
- Issue
- 1
- Pages
- 19-39
- ISSN
- 0021-9916 (ISSN-L)
- 1460-2466
- OpenAlex
- W2166155258
- Cited by
- 1,940
- References
- 64
- Citations by year
- 2026: 73 · 2025: 137 · 2024: 116 · 2023: 105 · 2022: 167 · 2021: 156 · 2020: 246 · 2019: 162 · 2018: 148 · 2017: 129 · 2016: 101 · 2015: 92 · 2014: 89 · 2013: 80 · 2012: 64
- FWCI
- 148.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Communication (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Social Sciences › Communication › Media Studies and Communication
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Keywords
- selective exposure, political affiliation, Fox News, convolutional neural networks, NPR, political polarization, political participation, new media
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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