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Abstract Misinformation exposure can cause inaccurate beliefs and memories. These unwanted outcomes can be mitigated when misinformation reminders—veracity-labeled statements that repeat earlier-read false information—appear before corrections with true information. The present experiment used eye tracking to examine the role of attention while encoding corrective details in the beneficial effects of reminder-based corrections. Participants read headlines in a belief-updating task that included a within-subjects manipulation of correction format. They first rated the familiarity and veracity of true and false headlines (Phase 1). Then, they read true headlines that corrected false headlines or affirmed true headlines (Phase 2). The true headlines appeared (1) without veracity labels, (2) with veracity labels, or (3) with misinformation reminders and veracity labels. Finally, participants re-rated the veracity of the Phase 1 headlines and rated their memory for whether those headlines were corrected in Phase 2 (Phase 3). Reminder-based corrections led to the greatest reduction in false beliefs, best high confidence recognition of corrections, and earliest eye fixations to the true details of corrections during encoding in Phase 2. Corrections remembered with the highest confidence rating were associated with more and earlier fixations to true details in correction statements in Phase 2. Collectively, these results suggest that misinformation reminders directed attention to corrective details, which improved encoding and subsequent memory for veracity information. These results have applied implications in suggesting that optimal correction formats should include features that direct attention to, and thus support encoding of, the contrast between false and true information.
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Network Structure Impacts the Synchronization of Collective Beliefs
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.
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- Award ID(s):
- 2027225
- PAR ID:
- 10344593
- Date Published:
- Journal Name:
- Journal of Cognition and Culture
- Volume:
- 21
- Issue:
- 5
- ISSN:
- 1567-7095
- Page Range / eLocation ID:
- 431 to 448
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript
- Journal Article:
- https://doi.org/10.1163/15685373-12340120
