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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) 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
In the citing paper
“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
In the citing paper
“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
Citations
Cites
A Theory of Cognitive Dissonance
Festinger, L. (1957) · doi:10.1515/9781503620766 · Cited by 24,241 · cited 1×
“The argument that people prefer to approach supportive over nonsupportive information precedes the onset of new media and dates back to the heyday of cognitive consistency theories in the 1950s (Festinger, 1957).”
BackgroundAdvances In Experimental Social Psychology
(2022) · Advances in experimental social psychology · doi:10.1016/s0065-2601(22)x0002-6 · Cited by 22,559
A Theory of Cognitive Dissonance
Morvan, C., & O’Connor, A. (2017) · Macat Library eBooks · doi:10.4324/9781912282432 · Cited by 18,284
Limited-Dependent and Qualitative Variables in Econometrics
Maddala, G. S. (1983) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810176 · Cited by 13,268
Hapeman, D. E., & Agresti, A. (1991) · Technometrics · doi:10.1080/00401706.1991.10484817 · Cited by 9,407
Regression Models for Categorical and Limited Dependent Variables.
MTW, & Long, J. S. (1997) · Journal of the American Statistical Association · doi:10.2307/2965458 · Cited by 6,891
An Introduction to Categorical Data Analysis
Agresti, A. (2006) · Wiley series in probability and statistics · doi:10.1002/0470114754 · Cited by 6,775
Regression Models for Categorical and Limited Dependent Variables
Calvin, J. A., & Long, J. S. (1998) · Technometrics · doi:10.2307/1271407 · Cited by 5,290
Estimating Discrete-Choice Models of Product Differentiation
Berry, S. (1994) · The RAND Journal of Economics · doi:10.2307/2555829 · Cited by 2,835
The measurement of urban travel demand
McFadden, D. L. (1974) · Journal of Public Economics · doi:10.1016/0047-2727(74)90003-6 · Cited by 2,576
Research works printed but not linked: 12
- Bumiller, 200823, McCain gathers support and donations in aftermath of article in The Times, The New York Times, p. A13
- Fiorina, 2005, Culture wars? The myth of polarized America
- Fox, 1997, Applied regression, linear models, and related methods
- Greene, 2003, Econometric analysis
- Hill, 2007, The opt-in internet panel: Survey mode, sampling methodology and the implications for political research
- Iyengar, 2007, Media and politics: A citizen’s guide
- Jacobson, 2000, Polarized politics, 9
- Pew Research Center for the People and Press, 2004, Online news audience larger, more diverse: News audience increasingly polarized
- Rutenberg, 200821, For McCain, self-confidence on ethics poses its own risk, The New York Times
- Sears, 1968, Theories of cognitive consistency: A sourcebook, 777
- Smith, 1997, What the people want from the press
- Steinberg, 20076, Cable channel nods to ratings and leans left, The New York Times
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Kaiser, J., Keller, T. R., & Königslöw, K. K. (2018) · Communication Research · doi:10.1177/0093650218803529 · Cited by 117
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Rabinowitz, M., Latella, L. E., Stern, C., & Jost, J. T. (2016) · PLoS ONE · doi:10.1371/journal.pone.0158382 · Cited by 95
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Metadata
- 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 › News Media Framing and Political 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
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