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

Sven Gruener

No x8efq, SocArXiv from Center for Open Science

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.

Date: 2021-01-07
New Economics Papers: this item is included in nep-env and nep-exp
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Working Paper: Susceptibility to misinformation: a study of climate change, Covid-19, and artificial intelligence (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:x8efq

DOI: 10.31219/osf.io/x8efq

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