The DOI matches its Crossref record; 38 of the 39 references it cites were found in a registry or an index.
The Politically Motivated Reasoning Paradigm, Part 1: What Politically Motivated Reasoning Is and How to Measure It
Abstract
Recent research identifiespolitically motivated reasoningas the source of persistent public conflict over policy‐relevant facts. This essay, the first in a two‐part set, presents a basic conceptual model—thePolitically Motivated Reasoning Paradigm—and an experimental setup—thePMRP design—geared to distinguishing the influence of PMRP from a truth‐seeking Bayesian process of information processing and from recurring biases understood to be inimical to the same. It also discusses alternative schemes for operationalizing “motivating” group predispositions and the characteristics of valid study samples for examining this phenomenon.
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“People may process information in a manner that is consistent with their partisan identities, prior beliefs, and motivations, a process known as motivated cognition (34–37).”
From Out-group animosity drives engagement on social media (2021) · cites this paper as [34]
In the citing paper
“This has brought researchers to conclude that negative influence effect is elusive, with limited relevance for politics outside the laboratory (88, 90, 93–95): while we may be less influenced by our political opponents, we are unlikely to be negatively influenced by them.”
From How digital media drive affective polarization through partisan sorting (2022) · cites this paper as [88]
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Cites
Lord, C. G., Ross, L., & Lepper, M. R. (1979) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.37.11.2098 · Cited by 4,583
(2003) · Choice Reviews Online · doi:10.5860/choice.40-4918 · Cited by 2,016
Cultural cognition of scientific consensus.
Kahan, D. M., Jenkins‐Smith, H., & Braman, D. (2011) · Journal of Risk Research · doi:10.1080/13669877.2010.511246 · Cited by 1,686
Self-citationThe psychology of self-defense: Self-affirmation theory
Sherman, D. K., & Cohen, G. L. (2006) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(06)38004-5 · Cited by 1,614
Party Over Policy: The Dominating Impact of Group Influence on Political Beliefs.
Cohen, G. L. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.85.5.808 · Cited by 1,400
Effective messages in vaccine promotion: a randomized trial
Nyhan, B., Reifler, J., Richey, S., & Freed, G. L. (2014) · Pediatrics · doi:10.1542/peds.2013-2365 · Cited by 1,300
Lodge, M., & Taber, C. S. (2013) · doi:10.1017/cbo9781139032490 · Cited by 1,281
Using Mechanical Turk to Study Clinical Populations
Shapiro, D. N., Chandler, J., & Mueller, P. A. (2013) · Clinical Psychological Science · doi:10.1177/2167702612469015 · Cited by 1,139
Conducting Clinical Research Using Crowdsourced Convenience Samples
Chandler, J., & Shapiro, D. (2016) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-021815-093623 · Cited by 1,072
Rationality and the Reflective Mind
Stanovich, K. (2010) · doi:10.1093/acprof:oso/9780195341140.001.0001 · Cited by 1,041
Research works printed but not linked: 6
- Frankovic K., 2015, Most republicans do not think humans are causing climate change
- Kahan D. M., The expressive rationality of inaccurate perceptions of fact, Behavioral & Brain Sciences
- 10.1038/nnano.2008.341 · DOI
- Moore P., 2015, Most Republicans back a flat tax
- Newport F., 2015, Majority say more concealed weapons would make U.S. Safer
- Smith T.W., 2014, General social survey, 2014 file [data file and codebook]
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McKenna, R. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192888822.002.0003
McKenna, R. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192888822.003.0006
Liberatory Virtue and Vice Epistemology
McKenna, R. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192888822.003.0007
McKenna, R. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192888822.002.0004
McKenna, R. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192888822.003.0008
The neural basis of politically motivated reasoning.Preprint
Lois, G., Yuen, K. S. L., Tsakas, E., & Riedl, A. M. (2023) · doi:10.31234/osf.io/2ycgw
Lois, G., Tsakas, E., & Riedl, A. M. (2023) · doi:10.31234/osf.io/82npr
SOCIAL MEDIA LITERACY AND FAKE NEWS ACUMEN: A STUDY ON THE LOCUS OF YOUTH IN COIMBATORE CITY
B, S. K., Kadeswaran, S., & Jayaseelan, R. (2023) · International Journal of Research -GRANTHAALAYAH · doi:10.29121/granthaalayah.v11.i11.2023.5418
Analitičko rasuđivanje i uvjerenja koja proizvode polarizaciju
Maglić, M. (2023) · doi:10.17234/diss.2023.102859 · Cited by 2
A Note to the Reader about the Book’s Cover
Ballantyne, N. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780190847289.002.0008
Ballantyne, N. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780190847289.002.0003
Ballantyne, N. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780190847289.002.0005
Ballantyne, N. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780190847289.002.0004
Lepoutre, M. (2021) · doi:10.1093/oso/9780198869757.002.0003
Racionalnost i (svjetonazorska) polarizacija uvjerenja
Maglić, M., & Vranić, A. (2024) · Psihologijske teme · doi:10.31820/pt.33.2.8
Motivated Social Cognition About Social Justice
Hennes, E. P., Dang, L., & Jost, J. T. (2024) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780197763414.013.37
Characteristics of Crisis Misinformation Messages on Social Media
Dobmeier, C. M., Zier, J., & Walter, N. (2024) · doi:10.1002/9781394184972.ch1
Bad polarization in structurally cohesive communities
Michelini, M., di Sorrentino, E. P., & Vilone, D. (2025) · Synthese · doi:10.1007/s11229-025-04977-w
Democracy and Citizenry Competence
Boeri, M. D., & Brasi, L. D. (2025) · Springer eBooks · doi:10.1007/978-3-031-90859-0_6
Do conspiracy-theory interventions rest on a mistake?
Colyvan, M., Smartt, T., & Tierney, H. (2025) · Synthese · doi:10.1007/s11229-025-05257-3
Kogelmann, B. (2025) · Res Publica · doi:10.1007/s11158-025-09739-6
Wu, V. Y. (2025) · Nature Communications · doi:10.1038/s41467-025-64678-3
Friberg‐Fernros, H., Lundmark, S., Theorin, N., Ahlbom, J., & Oscarsson, H. E. (2025) · Argumentation · doi:10.1007/s10503-025-09683-y
Hudiyana, J., Patricia, A., Hanaveriesa, N., Siregar, A. L. T., & Putra, I. E. (2025) · Public Understanding of Science · doi:10.1177/09636625251396368
Bayes or Pascal? The computations underlying motivated reasoning
Rigoli, F. (2026) · Philosophical Psychology · doi:10.1080/09515089.2026.2615690
Petrović, M. B., Branković, M., Damnjanović, M., Draginić, K., Sullman, M. J. M., & Žeželj, I. L. (2026) · British Journal of Psychology · doi:10.1111/bjop.70050
Den retoriska kritikens potential när det gäller akuta omedgörliga problem
Söderberg, M. W., & Wormbs, N. (2025) · Rhetorica Scandinavica · doi:10.52610/rhs.v29i90.312
Gramchev, B. M. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-6906-8.ch003
Changing Americans’ Attitudes about Immigration: Using Moral Framing to Bolster Factual ArgumentsPreprint
Malik, M., Willer, R., Voelkel, J. G., & Redekopp, C. (2023) · OSF Preprints (OSF Preprints)
Luo, J., & Hao, A. (2026) · Computational and Mathematical Organization Theory · doi:10.1007/s10588-026-09422-y
Party-colored trust? Ties between party preference and epistemic trust in climate change issues
Westinen, J., Vadén, S., & Tiihonen, A. (2026) · Political Studies Review · doi:10.1177/14789299261458139
Kares, F., Vesper, D., Schäpers, P., & König, C. J. (2026) · European Journal of Psychology Open · doi:10.1024/2673-8627/a000110
Transparency and Responsibility Attribution: A Field Experiment in Western Uganda
Schultz, B., Coleman, E. A., Parker, R., Manyindo, J., & Mukuru, E. (2026) · Policy Studies Journal · doi:10.1111/psj.70150
Attitudes towards carbon taxation in the EU: messenger effects vs. content effects
Levis, A., Smith, E. K., & Pianta, S. (2026) · Journal of Public Policy · doi:10.1017/s0143814x26101226
Simple logic warnings improve climate argument evaluation across beliefs and partisanship
Bagó, B., & Purcell, Z. A. (2026) · Nature Climate Change · doi:10.1038/s41558-026-02754-2
Kurniati, D. P. Y., Januraga, P. P., Wulanyani, N. M. S., Dwipayanti, N. M. U., Wati, D. K., Sawitri, A. A. S., Tianing, N. W., Septarini, N. W., Suariyani, N. L. P., & Wirawan, I. M. A. (2026) · Vulnerable Children and Youth Studies · doi:10.1080/17450128.2026.2748268
Kim, J. Y., Young, L. E., Kim, D.-G., Drivas, M., Wang, Z., Twyman, M. D., & Yang, A. (2026) · Environment and Behavior · doi:10.1177/00139165261494898
The Uptake Problem and Beyond: Rethinking Belief Formation in Radical Political Realism
Tang, Y. (2026) · Ethical Theory and Moral Practice · doi:10.1007/s10677-026-10588-2
Metadata
- Authors
- Kahan, D. M.
- Affiliations
- Yale University (US)
- Corresponding author
- Kahan, Dan M.
- ORCID
- Kahan, Dan M.
- Venue
- Emerging Trends in the Social and Behavioral Sciences
- Publisher
- Wiley
- Published
- 2016-11-29
- Pages
- 1-16
- OpenAlex
- W2564709365
- Cited by
- 341
- References
- 39
- Citations by year
- 2026: 19 · 2025: 23 · 2024: 31 · 2023: 59 · 2022: 60 · 2021: 46 · 2020: 36 · 2019: 37 · 2018: 20 · 2017: 8 · 2016: 2
- Type
- other
- Language
- en
- Open access
- closed
- Locations
- Emerging Trends in the Social and Behavioral Sciences (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Keywords
- cognitive biases
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