Trust in scientists, risk perception, conspiratorial beliefs, and unrealistic optimism: A network approach to investigating the psychological underpinnings of COVID-19 vaccination intentions

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Authors
Casara, Bruno Gabriel Salvador
Martinez-Conde, Susana
Doliński, Dariusz
Suitner, Caterina
Genschow, Oliver
Muniak, Paweł
Kulesza, Wojciech
Monograph
Monograph (alternative title)
Date
2022-10-11
Publisher
Journal title
Social Psychological Bulletin
Issue
Volume
17
Pages
Pages
1-22
DOI
ISSN
2569-653X
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Weblink
https://spb.psychopen.eu/index.php/spb/article/view/7807
Access date
2022-11-10
Abstract PL
Abstract EN
Using a network approach, we addressed in two studies interrelations among potential antecedents of vaccine intentions, related to both COVID-19 risk perception and epistemic beliefs (i.e., trust in scientists and conspiracy beliefs). In Study 1 and 2, we assessed a US (N = 994) and an international sample (N = 902) during spring and summer 2020. The network analysis reveals a complex interplay of factors where trust in scientists, the closest predictor of vaccine intention, is associated with conspiracy beliefs and danger perception. Furthermore, we found evidence for unrealistic optimism, with participants perceiving the risk of getting infected with COVID-19 as lower compared to the risk they attributed to other people. However, this bias was not associated with vaccine intention. Study 2 corroborated these results. The results call for a global change in the narrative which should highlight the epistemic authority of science in order to build a stronger trust in the scientific community. However, tackling trust in scientists needs a wider field of persuasion that includes conspiracy beliefs and risk perception factors.
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Keywords PL
Keywords EN
COVID-19
optimism
pessimism
unrealistic optimism bias
risk perception
vaccination hesitancy
cognitive illusions
positive illusions
conspiracy
coronavirus
trust in science
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URI
https://share.swps.edu.pl/handle/swps/756
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cc-by
Except as otherwise noted, this item is licensed under the Attribution licence | Permitted use of copyrighted works
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