Identifying important individual‐ and country‐level predictors of conspiracy theorizing: a machine learning analysis

Douglas, K.M. orcid.org/0000-0002-0381-6924, Sutton, R.M. orcid.org/0000-0003-1542-1716, Van Lissa, C.J. et al. (99 more authors) (2023) Identifying important individual‐ and country‐level predictors of conspiracy theorizing: a machine learning analysis. European Journal of Social Psychology, 53 (6). pp. 1191-1203. ISSN 0046-2772

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Item Type: Article
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© 2023 The Authors. European Journal of Social Psychology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited (https://creativecommons.org/licenses/by/4.0/).

Keywords: conspiracy theories; country-level variables; COVID-19; machine learning; individual-level variables
Dates:
  • Published: October 2023
  • Published (online): 30 June 2023
  • Accepted: 30 May 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 04 Jul 2023 12:39
Last Modified: 04 Oct 2024 11:18
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: 10.1002/ejsp.2968
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