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Prior exposure increases perceived accuracy of fake news
Open accessAbstract
The 2016 U.S. presidential election brought considerable attention to the phenomenon of "fake news": entirely fabricated and often partisan content that is presented as factual. Here we demonstrate one mechanism that contributes to the believability of fake news: fluency via prior exposure. Using actual fake-news headlines presented as they were seen on Facebook, we show that even a single exposure increases subsequent perceptions of accuracy, both within the same session and after a week. Moreover, this "illusory truth effect" for fake-news headlines occurs despite a low level of overall believability and even when the stories are labeled as contested by fact checkers or are inconsistent with the reader's political ideology. These results suggest that social media platforms help to incubate belief in blatantly false news stories and that tagging such stories as disputed is not an effective solution to this problem. It is interesting, however, that we also found that prior exposure does not impact entirely implausible statements (e.g., "The earth is a perfect square"). These observations indicate that although extreme implausibility is a boundary condition of the illusory truth effect, only a small degree of potential plausibility is sufficient for repetition to increase perceived accuracy. As a consequence, the scope and impact of repetition on beliefs is greater than has been previously assumed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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“Reducing the sharing of misinformation is of substantial importance, because simply being exposed to misinformation can increase subsequent belief13,20–22.”
From Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation (2022) · cites this paper as [13]
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“Some explanations for belief in misinformation identify factors that resist intervention (4), while others propose policy approaches that are effective in practice but difficult to scale (34, 44).”
From A digital media literacy intervention increases discernment between mainstream and false news in the United States and India (2020) · cites this paper as [44]
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Grawitch, M. J., Lavigne, K. N., Smets, K., Mudigonda, S. P., & Winton, S. L. (2025) · Organizational Psychology Review · doi:10.1177/20413866251320627 · Cited by 4
“Contrary to many dual-process theories, which view rationalizing as a failure to correct an incorrect IR1 due to insuf fi cient System 2 engagement - as Pennycook et al. (2015) do - there is evidence that error-inducing biases affect both intuitive and analytical processes (Felin & Koenderink, 2022; Melnikoff & Bargh,…”
InfluentialModeling the link between the plausibility of statements and the truth effect
Aktepe, S. C., & Heck, D. W. (2025) · Psychonomic Bulletin & Review · doi:10.3758/s13423-025-02647-z · Cited by 6
“Pennycook et al. (2018) showed that individuals with more general knowledge are less susceptible to the truth effect,implyingthatawell-informedpopulationmaybemore resilient to the impact of repeated misinformation and fake news.”
Does Causal Coherence Predict Online Spread of Social Media?
Hosseini, P., Diab, M., & Broniatowski, D. A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-21741-9_19 · Cited by 4
Identifying and Debunking Environmentally-Related False News Stories – An Experimental Investigation
Grüner, S. (2021) · German Journal of Agricultural Economics · doi:10.30430/gjae.2021.0176 · Cited by 4
“P ENNYCOOK et al. (2018) found that prior exposure to a statement increases the probability that it will be evaluated as correct.”
InfluentialZuo, C., Banerjee, R., Chaleshtori, F. H., Shirazi, H. M., & Ray, I. (2022) · Journal of Data and Information Quality · doi:10.1145/3546914 · Cited by 4
Accuracy-sensitisation promotes the sharing of pro- (but not anti-) vaccine information
Saling, L. L., Phillips, J. G., & Cohen, D. B. (2023) · Psychology and Health · doi:10.1080/08870446.2023.2179053 · Cited by 4
“For instance, it has been shown that repeated exposure to mis-information increases belief in its veracity (Pennycook & Cannon, 2018).”
Fabio, R. A., Verzì, D., & Gangemi, A. (2023) · The Journal of General Psychology · doi:10.1080/00221309.2023.2241952 · Cited by 4
“In contrast, System 2 is controlled, conscious, analytic, and related to individual differences in working memory capacity and general intelligence (Fabio, Capr (cid:1) ı , & Romano, 2019; Pennycook et al., 2018; Shiffrin & Schneider, 1977).”
BackgroundThe relevance of syntactic complexity for truth judgments: A registered report
Schmidt, O., & Heck, D. W. (2023) · Consciousness and Cognition · doi:10.1016/j.concog.2023.103623 · Cited by 5
“Partially, this might be because repeated statements are on average judged as more true than novel statements (Pennycook et al., 2018; Vellani et al., 2023), a robust phenomenon known as the illusory or repetition-based truth effect (Hasher et al., 1977; for an overview see Dech ˆ ene et al., 2009;…”
BackgroundFang, Y. (2024) · Health Communication · doi:10.1080/10410236.2024.2328455 · Cited by 5
“…the illusory truth effect by repetition occurs even when people have demonstrated prior knowledge (Fazio et al., 2015), when a statement is implausible (Pennycook et al., 2018), and when participants have been warned to consider whether they were exposed to a statement (Nadarevic & Aßfalg, 2017).”
Influential“Airbnb Be Like…”: Examining the Impact of Memetic Doppelgängers on Meme Virality and Brand Image
Kolar, T., Gidaković, P., & Culiberg, B. (2024) · Journal of Travel Research · doi:10.1177/00472875241291147 · Cited by 4
Yamaguchi, S., Oshima, H., Watanabe, T., Osaka, Y., Tanihara, T., Inoue, E., & Tanabe, S. (2025) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-07-2024-0419 · Cited by 4
Facebook users’ engagement with dental caries misinformation in Brazilian Portuguese
Remiro, M. O. D. S., Jorge, O. S., Lotto, M., de Oliveira, T. M., Machado, M. A. D. A. M., & Cruvinel, T. (2025) · Ciência & Saúde Coletiva · doi:10.1590/1413-81232025302.06202023 · Cited by 3
Holt, A. E., Charquero‐Ballester, M., Walter, J. G., & Bechmann, A. (2025) · Journal of Elections Public Opinion and Parties · doi:10.1080/17457289.2025.2514198 · Cited by 4
“This empirical exposure knowledge gap exists despite studies showing that exposure to fake news increases their perceived accuracy (Lee and Bissell 2024; Pennycook, Cannon, and Rand 2018).”
Contesting Authority to Adjudicate Misinformation
Radnitz, S. (2025) · Perspectives on Politics · doi:10.1017/s1537592725102028 · Cited by 5
Medical misinformation and the internet: a call to arms
Gunter, J. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31206-1 · Cited by 4
Stier, S., & Jungherr, A. M. (2019) · Politik in der digitalen Gesellschaft · doi:10.14361/9783839448649-016 · Cited by 4
Fake news e cadeias de referência:
Lemos, A., & Oliveira, F. (2021) · Fronteiras - estudos midiáticos · doi:10.4013/fem.2021.232.06 · Cited by 4
Digital Misinformation & Disinformation: The Global War of Words
Yang, J., & Luttrell, R. M. (2022) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80071-597-420221030 · Cited by 7
Li, H., He, X., Hu, T.-Y., & Xie, X. (2022) · Journal of Health Psychology · doi:10.1177/13591053221105349 · Cited by 4
“…the relevant information can be extracted easily from memory, processed more fluently with less cognitive effort (e.g. Alba and Hutchinson, 1987), which is then taken to imply that the familiar persuasion information is true (Fazio et al., 2015; Pennycook and Rand, 2020; Pennycook et al., 2018).”
BackgroundRahmanian, E., & Esfidani, M. R. (2022) · Journal of Creative Communications · doi:10.1177/09732586221116464 · Cited by 5
“It is widely known that repetition is an important factor in believing fake news (Dechene et al., 2010; Fazio et al., 2015; Hasher et al., 1977), but recent findings show that reading the headline even one time might increase the perception of credibility and truth (Pennycook et al., 2018).”
BackgroundContent Analysis in the Research Field of Disinformation
Staender, A., & Humprecht, E. (2022) · Springer eBooks · doi:10.1007/978-3-658-36179-2_29 · Cited by 4
›Fake News‹ in Literatur und Medien
Bendheim, A., & Pavlik, J. (2022) · Lettre · doi:10.14361/9783839460191 · Cited by 4
Metadata
- Authors
- Pennycook, G., Cannon, T. D., & Rand, D. G.
- Affiliations
- Yale University (US)
- Venue
- Journal of Experimental Psychology General
- Published
- 2018-12
- Volume
- 147
- Issue
- 12
- Pages
- 1865-1880
- ISSN
- 0096-3445 (ISSN-L)
- 1939-2222
- PMC
- PMC6279465
- OpenAlex
- W3125618971
- Cited by
- 1,268
- References
- 58
- Citations by year
- 2026: 117 · 2025: 139 · 2024: 141 · 2023: 204 · 2022: 188 · 2021: 198 · 2020: 180 · 2019: 79 · 2018: 20
- FWCI
- 270.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Experimental Psychology General (publishedVersion, other-oa)
- SSRN Electronic Journal (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Funders
- Social Sciences and Humanities Research Council of Canada
- National Institute of Mental Health (MH081902)
- Templeton World Charity Foundation
- Defense Advanced Research Projects Agency
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
- Social Sciences › Psychology › Social Psychology › Deception detection and forensic psychology
- Keywords
- fake news, illusory truth effect, prior exposure, perceived accuracy, fluency, social media, Facebook, 2016 US presidential election, fact-checking, political ideology, belief formation, repetition
- MeSH terms
- Adult, Female, Humans, Judgment, Deception, Male, Perception, Politics, United States, Social 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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