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Post-truth epistemic beliefs rooted in the Dark Factor of Personality are associated with higher COVID-19 vaccination refusal.
Rudloff, Jan Philipp; Hutmacher, Fabian; Appel, Markus.
  • Rudloff JP; Psychology of Communication and New Media, Human-Computer-Media Institute, University of Würzburg, Oswald-Külpe-Weg 82, 97074, Würzburg, Germany. jan.rudloff@uni-wuerzburg.de.
  • Hutmacher F; Psychology of Communication and New Media, Human-Computer-Media Institute, University of Würzburg, Oswald-Külpe-Weg 82, 97074, Würzburg, Germany.
  • Appel M; Psychology of Communication and New Media, Human-Computer-Media Institute, University of Würzburg, Oswald-Külpe-Weg 82, 97074, Würzburg, Germany.
Sci Rep ; 13(1): 4254, 2023 03 14.
Article in English | MEDLINE | ID: covidwho-2278975
ABSTRACT
A substantial number of people refused to get vaccinated against COVID-19, which prompts the question as to why. We focus on the role of individual worldviews about the nature and generation of knowledge (epistemic beliefs). We propose a model that includes epistemic beliefs, their relationship to the Dark Factor of Personality (D), and their mutual effect on the probability of having been vaccinated against COVID-19. Based on a US nationally representative sample (N = 1268), we show that stronger endorsement of post-truth epistemic beliefs was associated with a lower probability of having been vaccinated against COVID-19. D was also linked to a lower probability of having been vaccinated against COVID-19, which can be explained by post-truth epistemic beliefs. Our results indicate that the more individuals deliberately refrain from adhering to the better argument, the less likely they are vaccinated. More generally, post-truth epistemic beliefs pose a challenge for rational communication.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Prognostic study / Risk_factors_studies Topics: Vaccines Limits: Humans Language: English Journal: Sci Rep Year: 2023 Document Type: Article Affiliation country: S41598-023-31079-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Prognostic study / Risk_factors_studies Topics: Vaccines Limits: Humans Language: English Journal: Sci Rep Year: 2023 Document Type: Article Affiliation country: S41598-023-31079-9