Abstract In a high‐risk environment, such as during an epidemic, people are exposed to a large amount of information, both accurate and inaccurate. Following exposure, they typically discuss the information with each other. Here, we assess the effects of such conversations on beliefs. A sample of 126 M‐Turk participants rated the accuracy of a set of COVID‐19 statements, including accurate information, inaccurate information, and conspiracy theories (pre‐test). They were then paired and asked to discuss these statements (low epistemic condition) or to discuss only the statements they thought were accurate (high epistemic condition). Finally, they rated the accuracy of the initial statements again (post‐test). We do not find an effect of the epistemic condition on belief change. However, we find that individuals are sensitive to their conversational partners and change their beliefs according to their partners' conveyed beliefs. In exploratory analyses, we report predictors of believing COVID‐19 conspiracies.
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Enabling or Limiting Cognitive Flexibility? Evidence of Demand for Moral Commitment
Moral behavior is more prevalent when individuals cannot easily distort their beliefs self-servingly. Do individuals seek to limit or enable their ability to distort beliefs? How do these choices affect behavior? Experiments with over 9,000 participants show prefer- ences are heterogeneous—30 percent of participants prefer to limit belief distortion, while over 40 percent prefer to enable it, even if costly. A random assignment mechanism reveals that being assigned to the preferred environment is necessary for curbing or enabling self-serving behavior. Third parties can anticipate these effects, sug- gesting some sophistication about the cognitive constraints to belief distortion.
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- Award ID(s):
- 1926043
- PAR ID:
- 10473378
- Publisher / Repository:
- American Economic Association
- Date Published:
- Journal Name:
- American Economic Review
- ISSN:
- 1944-7981
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract People’s beliefs are influenced by interactions within their communities. The propagation of this influence through conversational social networks should impact the degree to which community members synchronize their beliefs. To investigate, we recruited a sample of 140 participants and constructed fourteen 10-member communities. Participants first rated the accuracy of a set of statements (pre-test) and were then provided with relevant evidence about them. Then, participants discussed the statements in a series of conversational interactions, following pre-determined network structures (clustered/non-clustered). Finally, they rated the accuracy of the statements again (post-test). The results show that belief synchronization, measuring the increase in belief similarity among individuals within a community from pre-test to post-test, is influenced by the community’s conversational network structure. This synchronization is circumscribed by a degree of separation effect and is equivalent in the clustered and non-clustered networks. We also find that conversational content predicts belief change from pre-test to post-test.more » « less
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