The Role of Source, Headline and Expressive Responding in Political News Evaluation
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The salience of source information does not appear to change how accurately people identify fabricated news stories, manipulated images, or false news headlines.
“the salience of source information does not appear to change how accurately people identify fabricated news stories55, manipulated images56, or false news headlines57,58”
From Human detection of political speech deepfakes across transcripts, audio, and video (2024) · cites this paper as [58]
Cites
The case for motivated reasoning.
Kunda, Z. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.108.3.480 · Cited by 9,022 · see citing works
Political conservatism as motivated social cognition.
Jost, J. T., Glaser, J., Kruglanski, A. W., & Sulloway, F. J. (2003) · Psychological Bulletin · doi:10.1037/0033-2909.129.3.339 · Cited by 4,904 · see citing works
The Economic Theory of Agency: The Principal's Problem.
Ross, S. A. (1973) · American Economic Review · Cited by 4,113 · see citing works
Pennycook, G., & Rand, D. G. (2019) · Cognition · doi:10.1016/j.cognition.2018.06.011 · Cited by 2,022 · see citing works
The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework
Camerer, C. F., Hogarth, R. M., Budescu, D. V., & Eckel, C. C. (1999) · Springer eBooks · doi:10.1007/978-94-017-1406-8_2 · Cited by 1,549 · see citing works
The Influence of Partisan Motivated Reasoning on Public Opinion
Bolsen, T., Druckman, J. N., & Cook, F. L. (2014) · Political Behavior · doi:10.1007/s11109-013-9238-0 · Cited by 891 · see citing works
Political Parties, Motivated Reasoning, and Issue Framing Effects
Slothuus, R., & de Vreese, C. H. (2010) · The Journal of Politics · doi:10.1017/s002238161000006x · Cited by 736 · see citing works
Partisan bias in factual beliefs about politics
Bullock, J. G., Gerber, A. S., Hill, S. J., & Huber, G. A. (2015) · Quarterly Journal of Political Science · doi:10.1561/100.00014074 · Cited by 686 · see citing works
Financial incentives and the "performance of crowds"
Mason, W., & Watts, D. J. (2009) · doi:10.1145/1600150.1600175 · Cited by 544 · see citing works
Generalizing from Survey Experiments Conducted on Mechanical Turk: A Replication Approach
Coppock, A. (2019) · Political Science Research and Methods · doi:10.1017/psrm.2018.10 · Cited by 515 · see citing works
Prior, M., Sood, G., & Khanna, K. (2015) · Quarterly Journal of Political Science · doi:10.1561/100.00014127 · Cited by 418 · 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
Expressive Political Behaviour: Foundations, Scope and Implications
Hamlin, A., & Jennings, C. (2011) · British Journal of Political Science · doi:10.1017/s0007123411000020 · Cited by 330 · see citing works
Expressive behavior in economics and politics
Hillman, A. L. (2010) · European Journal of Political Economy · doi:10.1016/j.ejpoleco.2010.06.004 · Cited by 328 · see citing works
Overcoming Incentive Constraints by Linking Decisions
Jackson, M. O., & Sonnenschein, H. F. (2007) · Econometrica · doi:10.1111/j.1468-0262.2007.00737.x · Cited by 259 · see citing works
Why They Don’t Trust the Media: An Examination of Factors Predicting Trust
Lee, T.-T. (2010) · American Behavioral Scientist · doi:10.1177/0002764210376308 · Cited by 243 · see citing works
Why Americans Don’t Trust the Media: A Preliminary Analysis
Jones, D. A. (2004) · Harvard International Journal of Press/Politics · doi:10.1177/1081180x04263461 · Cited by 189 · see citing works
Attitude Extremity and Trust in Media
Gunther, A. (1988) · Journalism Quarterly · doi:10.1177/107769908806500203 · Cited by 111 · see citing works
Motivated Responding in Studies of Factual Learning
Khanna, K., & Sood, G. (2017) · Political Behavior · doi:10.1007/s11109-017-9395-7 · Cited by 86 · see citing works
American views 2020: trust, media and democracy
Gallup (2018) · Cited by 65 · see citing works
Krupenkin, M., Rothschild, D. M., Hill, S., & Yom-Tov, E. (2019) · SAGE Open · doi:10.1177/2158244019830865 · Cited by 27 · see citing works
Crowdsourcing Judgments of News Source QualityPreprint
Pennycook, G., & Rand, D. G. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3118471 · Cited by 19 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Pennycook, G., & Rand, D. G. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.02.007 · Cited by 1,360 · see citing works
Fake news, disinformation and misinformation in social media: a review
Aïmeur, E., Amri, S., & Brassard, G. (2023) · Social Network Analysis and Mining · doi:10.1007/s13278-023-01028-5 · Cited by 772 · see citing works
Scaling up fact-checking using the wisdom of crowds
Allen, J., Arechar, A. A., Pennycook, G., & Rand, D. G. (2021) · Science Advances · doi:10.1126/sciadv.abf4393 · Cited by 234 · see citing works
Effects of Credibility Indicators on Social Media News Sharing Intent
Yaqub, W., Kakhidze, O., Brockman, M. L., Memon, N., & Patil, S. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376213 · Cited by 171 · see citing works
Emphasizing publishers does not effectively reduce susceptibility to misinformation on social media
Dias, N., Pennycook, G., & Rand, D. G. (2020) · Harvard Kennedy School Misinformation Review · doi:10.37016/mr-2020-001 · Cited by 145 · see citing works
“Yet, others (Austin & Dong, 1994, Pennycook & Rand, 2019b, Jakesch et al., 2018) have failed to demonstrate that assessments of news stories are changed by source information.”
BackgroundAccuracy and social motivations shape judgements of (mis)information
Rathje, S., Roozenbeek, J., Bavel, J. J. V., & van der Linden, S. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01540-w · Cited by 134 · see citing works
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality
Gordon, M. L., Zhou, K., Patel, K., Hashimoto, T., & Bernstein, M. S. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445423 · Cited by 101 · see citing works
Human detection of political speech deepfakes across transcripts, audio, and video
Groh, M., Sankaranarayanan, A., Singh, N., Kim, D. Y., Lippman, A., & Picard, R. (2024) · Nature Communications · doi:10.1038/s41467-024-51998-z · Cited by 89 · see citing works
How Can Psychological Science Help Counter the Spread of Fake News?
van der Linden, S., Roozenbeek, J., Maertens, R., Basol, M., Kácha, O., Rathje, S., & Traberg, C. S. (2021) · The Spanish Journal of Psychology · doi:10.1017/sjp.2021.23 · Cited by 71 · see citing works
Epstein, Z., Pennycook, G., & Rand, D. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376232 · Cited by 67 · see citing works
The persuasive effects of social cues and source effects on misinformation susceptibility
Traberg, C. S., Harjani, T., Roozenbeek, J., & van der Linden, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-54030-y · Cited by 68 · see citing works
Displaying News Source Trustworthiness Ratings Reduces Sharing Intentions for False News Posts
Celadin, T., Capraro, V., Pennycook, G., & Rand, D. G. (2023) · Journal of Online Trust and Safety · doi:10.54501/jots.v1i5.100 · Cited by 50 · see citing works
Effect of Explanation Conceptualisations on Trust in AI-assisted Credibility Assessment
Pareek, S., van Berkel, N., Velloso, E., & Goncalves, J. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3686922 · Cited by 42 · see citing works
Breaking Groupthink: Why Scientific Identity and Norms Mitigate Ideological Epistemology
Bavel, J. J. V., Reinero, D. A., Harris, E., Robertson, C. E., & Pärnamets, P. (2020) · Psychological Inquiry · doi:10.1080/1047840x.2020.1722599 · Cited by 40 · see citing works
”It Matches My Worldview”: Examining Perceptions and Attitudes Around Fake Videos
Shahid, F., Kamath, S., Sidotam, A., Jiang, V., Batino, A., & Vashistha, A. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517646 · Cited by 40 · see citing works
Panda, A., Gonawela, A., Acharyya, S., Mishra, D., Mohapatra, M., Chandrasekaran, R., & Pal, J. (2020) · International Conference on Social Media and Society (SMSociety) · doi:10.1145/3400806.3400830 · Cited by 31 · see citing works
“Is It the Message or the Messenger?”: Conspiracy Endorsement and Media Sources
Mancosu, M., & Vegetti, F. (2020) · Social science computer review · doi:10.1177/0894439320965107 · Cited by 33 · see citing works
How COVID drove the evolution of fact-checking
Siwakoti, S., Yadav, K., Bariletto, N., Zanotti, L., Erdoğdu, U., & Shapiro, J. N. (2021) · Harvard Kennedy School Misinformation Review · doi:10.37016/mr-2020-69 · Cited by 26 · see citing works
Partisan conflict over content moderation is more than disagreement about facts
Appel, R. E., Pan, J., & Roberts, M. E. (2023) · Science Advances · doi:10.1126/sciadv.adg6799 · Cited by 25 · see citing works
Peer-supplied credibility labels as an online misinformation intervention
Pareek, S., & Gonçalves, J. (2024) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2024.103276 · Cited by 18 · see citing works
Breaking groupthink: Why scientific identity and norms mitigate ideological epistemologyPreprint
Bavel, J. J. V., Reinero, D. A., Harris, E., Robertson, C., & Pärnamets, P. (2020) · doi:10.31234/osf.io/734aj · Cited by 15 · see citing works
Examining Source Effects on Perceptions of Fake News in Rural India
Shahid, F., Mare, S., & Vashistha, A. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3512936 · Cited by 12 · see citing works
(2021) · doi:10.31234/osf.io/ar96c · Cited by 12 · see citing works
Understanding Motivational Factors in Social Media News Sharing Decisions
Wang, L., & Rzeszotarski, J. M. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3579538 · Cited by 8 · see citing works
Testing the Effect of Information on Discerning the Veracity of News in Real Time
Aslett, K., Sanderson, Z., Godel, W., Persily, N., Nagler, J., Bonneau, R., & Tucker, J. A. (2023) · Journal of Experimental Political Science · doi:10.1017/xps.2023.20 · Cited by 7 · see citing works
Epistemic language in news headlines shapes readers’ perceptions of objectivity
Chuey, A., Luo, Y., & Markman, E. M. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2314091121 · Cited by 22 · see citing works
Stoeckel, F., Stöckli, S., Lyons, B. A., Kroker, H., & Reifler, J. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009677165 · Cited by 1 · see citing works
How Partisan Crowds Affect News Evaluation
Jakesch, M., Koren, M., Evtushenko, A., & Naaman, M. (2022) · doi:10.31234/osf.io/baxts
Self-citationCausal effects of expressed distrust in scientists on compliance intentions
Breitbeck, A. (2025) · Cultures of Science · doi:10.1177/20966083251411637
When Food Gets Political: How Does News Drive Green Food Offerings?
Xu, B., Guo, T., & Xu, D. Y. (2026) · Marketing Science · doi:10.1287/mksc.2025.0134
- Authors
- Jakesch, M., Koren, M., Evtushenko, A., & Naaman, M.
- Affiliations
- Cornell University (US)
- Harvard University (US)
- Corresponding author
- Jakesch, Maurice
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2018
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W2938086271
- Cited by
- 30
- References
- 22
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 5 · 2023: 6 · 2022: 3 · 2021: 5 · 2020: 8
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Social Sciences › Communication › Media Studies and Communication
- Keywords
- political alignment, response bias, institutional trustworthiness, political ideology, financial incentives
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 ›
Are you an author, or do you see a problem with this page? Request a review