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Susceptibility to misinformation: a study of climate change, Covid-19, and artificial intelligence

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  • Gruener, Sven

Abstract

This study explores whether susceptibility to misinformation is context dependent. We conduct a survey experiment in which subjects had to rate the reliability of several statements in the fields of climate change, Covid-19, and artificial intelligence. There is some evidence for a monological belief system, i.e., being susceptible to one statement containing misinformation is correlated with falling to other false news stories, in all three contexts. The main findings to explain the susceptibility to misinformation can be summarized as follows: trust in social networks is positively associated with falling for misinformation in all contexts. There are also several context-related differences: Individuals are less likely to be susceptible to misinformation in the contexts of climate change and Covid-19 if they have a higher risk perception, tend to take a second look at a problem (i.e., willingness to think deliberately), update their prior beliefs to new evidence (actively open-minded thinking), and trust in science and mass media. Within the context of artificial intelligence, being less prone to conspiracy theories in general and lower subjective knowledge helps not to be susceptible to misinformation.

Suggested Citation

  • Gruener, Sven, 2021. "Susceptibility to misinformation: a study of climate change, Covid-19, and artificial intelligence," SocArXiv x8efq, Center for Open Science.
  • Handle: RePEc:osf:socarx:x8efq
    DOI: 10.31219/osf.io/x8efq
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    1. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    2. Pietro Ortoleva & Erik Snowberg, 2015. "Overconfidence in Political Behavior," American Economic Review, American Economic Association, vol. 105(2), pages 504-535, February.
    3. repec:cup:judgdm:v:11:y:2016:i:1:p:99-113 is not listed on IDEAS
    4. Gerd Gigerenzer & Ralph Hertwig & Eva Van Den Broek & Barbara Fasolo & Konstantinos V. Katsikopoulos, 2005. "“A 30% Chance of Rain Tomorrow”: How Does the Public Understand Probabilistic Weather Forecasts?," Risk Analysis, John Wiley & Sons, vol. 25(3), pages 623-629, June.
    5. repec:cup:judgdm:v:8:y:2013:i:3:p:188-201 is not listed on IDEAS
    6. Alexandre Bovet & Hernán A. Makse, 2019. "Influence of fake news in Twitter during the 2016 US presidential election," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    7. Grüner, Sven, 2020. "Identifying and debunking environmental-related false news stories – An experimental study," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224621, Verein für Socialpolitik / German Economic Association.
    8. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    9. Flynn, Leisa Reinecke & Goldsmith, Ronald E., 1999. "A Short, Reliable Measure of Subjective Knowledge," Journal of Business Research, Elsevier, vol. 46(1), pages 57-66, September.
    10. Russell Golman & David Hagmann & George Loewenstein, 2017. "Information Avoidance," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 96-135, March.
    11. repec:cup:judgdm:v:7:y:2012:i:1:p:25-47 is not listed on IDEAS
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