Rumors and Health Care Reform: Experiments in Political Misinformation

By Adam J. Berinsky. British Journal of Political Science, 2015

477 citations recorded by the source corpus.

Subfields: Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/8b172af7871a967f16a548388f224f5ba0e5e9c7

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In Sociology and Political Science

Citations in the corpus

Emphasizing publishers does not effectively reduce susceptibility to misinformation on social media (2020, background): “Many studies have found that source credibility can affect judgments of accuracy or believability (Baum & Groeling, 2009; Landrum et al., 2017; Berinsky, 2017; Swire et al., 2017; Knight Foundation, 2018; Kim et al., 2019).”
Validating the demographic, political, psychological, and experimental results obtained from a new source of online survey respondents (2019, methodology): “Berinsky et al. (2012) analyze the original and their replication using a probit model, but we use ordinary least squares (OLS).”
Rumor Detection on Twitter with Tree-structured Recursive Neural Networks (2018, background): “, 1980; Rosnow and Foster, 2005), political studies (Allport and Postman, 1946; Berinsky, 2017), management science (DiFonzo et al.”
The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs About Politics (2017, background): “One of the most distinctive feature of rumors is rapid social transmission (Berinsky, 2015; DiFonzo & Bordia, 2006).”
Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News (2020, background): “People are more likely to accept messages as true if they perceive them as familiar (Berinsky, 2017).”
How to unring the bell: A meta-analytic approach to correction of misinformation (2018, background): “Generally speaking, misconceptions regarding climate change (Cook & Lewandowsky, 2016), evolution, and healthcare reform (Berinsky, 2017) could be harder to correct, as people ’ s religious and political identities are deeply implicated.”
Why do people believe COVID-19 conspiracy theories? (2020, background): “Third, evidence suggests that corrective strategies can be efficacious if other political and social ingredients of conspiracy beliefs can be mobilized to correct beliefs (e.g., Berinsky 2015).”
The Psychology of Fake News. (2021, background): “These include work on conspiracy belief [9], superstition [10], rumors [11], bullshit receptivity [12], andmisperceptions [13], among others.”
Prior Exposure Increases Perceived Accuracy of Fake News (2018, unknown): “, 2005) or retracting pieces of misinformation in news articles (Berinsky, 2017; Ecker et al., 2010; Lewandowsky et al., 2012; Nyhan & Reifler, 2010) are not necessarily effective strategies for decreasing long-term misperceptions (but see Swire, Ecker, & Lewandowsky, 2017).”
A Meta-Analytic Examination of the Continued Influence of Misinformation in the Face of Correction: How Powerful Is It, Why Does It Happen, and How to Stop It? (2019, background): “Familiarity and fluency serve as important heuristics in favoring certain information (Berinsky, 2017).”