The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs About Politics

By D. Flynn, Brendan Nyhan, Jason Reifler. 2017

869 citations recorded by the source corpus.

Subfields: Communication, Political Science and International Relations, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/6f869967c281a75a09b76c412e9b55dbe97f1ce5

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Citations in the corpus

False Information on Web and Social Media: A Survey (2018, background): “[28] showed that prior belief in false information is rooted in the biased reasoning of the presented information.”
The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines Without Warnings (2020, neutral): “Other work, however, suggests that warnings may be rendered ineffective by politically motivated reasoning, whereby people are biased against believing information that challenges their political ideology (Garrett and Weeks 2013, Flynn et al. 2016, Kahan 2017).”
The Persuasive Effect of Fox News: Non-Compliance with Social Distancing During the Covid-19 Pandemic (2020, neutral): “2A recent literature has analyzed what appears to be an increase in the supply of fake news, especially online (Allcott et al., 2019; Flynn et al., 2017; Lazer et al., 2018).”
How Right-Leaning Media Coverage of COVID-19 Facilitated the Spread of Misinformation in the Early Stages of the Pandemic in the U.S. (2020, background): “Considerable evidence also suggests that political identity leads people to engage in motivated conspiracy endorsement impugning their political rivals (Flynn et al., 2017; Miller et al., 2016).”
Trends in the diffusion of misinformation on social media (2018, neutral): “Although the political process has a long history of misinformation and popular misperceptions, misinformation on social media has caused widespread alarm in recent years (Flynn et al., 2017; Lazer et al., 2018).”
Filter Bubbles, Echo Chambers, and Fake News: How Social Media Conditions Individuals to Be Less Critical of Political Misinformation (2021, background): “Individuals are more likely to absorb false information because human beings are wired to trust familiar sources that confirm their existing world view (Flynn et al., 2017; Kunda, 1990; Taber & Lodge, 2006).”
Fact-Checking Effectiveness as a Function of Format and Tone: Evaluating FactCheck.org and FlackCheck.org (2018, background): “…the party cue should lead Republicans to be more persuaded by the original deceptive claim (Petty & Cacioppo, 1986), less persuaded by the corrective information (Flynn et al., 2017; Kunda, 1990), and more likely to counterargue the corrective information than Democrats (Petty & Cacioppo, 1986).”
The fake news game: actively inoculating against the risk of misinformation (2019, background): “…Jon roozenbeek jjr51@cam.ac.uk supplemental data for this article can be accessed https://doi.org/10.1080/13669877.2018.1443491. review, see Flynn, Nyhan, and Reifler 2017), there is some debate about the extent to which fake news influences public opinion (Luca Ciampaglia et al. 2017;…”
All the News That’s Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation (2020, background): “…on whether individuals are susceptible to directionally motivated reasoning, in this case whether partisans are likely to persevere in their beliefs about credibility or particular policy views when exposed either to disclaimers or opposing ideological perspectives (Flynn, Nyhan, and Reifler 2017).”
Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News (2020, background): “…unchallenged, could have profound implications for journalism, citizen competence, and the quality of democracy (Bennett & Livingston, 2018; Chadwick et al., 2018; Flynn et al., 2017; Rojecki & Meraz, 2016; Waisbord, 2018).2 This study provides the first evidence on the deceptiveness of deepfakes.”