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On modeling the correlates of conspiracy thinking
While a robust literature on the psychology of conspiracy theories has identified dozens of characteristics correlated with conspiracy theory beliefs, much less attention has been paid to understanding the generalized predisposition towards interpreting events and circumstances as the product of sup...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204035/ https://www.ncbi.nlm.nih.gov/pubmed/37221359 http://dx.doi.org/10.1038/s41598-023-34391-6 |
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author | Enders, Adam M. Diekman, Amanda Klofstad, Casey Murthi, Manohar Verdear, Daniel Wuchty, Stefan Uscinski, Joseph |
author_facet | Enders, Adam M. Diekman, Amanda Klofstad, Casey Murthi, Manohar Verdear, Daniel Wuchty, Stefan Uscinski, Joseph |
author_sort | Enders, Adam M. |
collection | PubMed |
description | While a robust literature on the psychology of conspiracy theories has identified dozens of characteristics correlated with conspiracy theory beliefs, much less attention has been paid to understanding the generalized predisposition towards interpreting events and circumstances as the product of supposed conspiracies. Using a unique national survey of 2015 U.S. adults from October 2020, we investigate the relationship between this predisposition—conspiracy thinking—and 34 different psychological, political, and social correlates. Using conditional inference tree modeling—a machine learning-based approach designed to facilitate prediction using a flexible modeling methodology—we identify the characteristics that are most useful for orienting individuals along the conspiracy thinking continuum, including (but not limited to): anomie, Manicheanism, support for political violence, a tendency to share false information online, populism, narcissism, and psychopathy. Altogether, psychological characteristics are much more useful in predicting conspiracy thinking than are political and social characteristics, though even our robust set of correlates only partially accounts for variance in conspiracy thinking. |
format | Online Article Text |
id | pubmed-10204035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102040352023-05-25 On modeling the correlates of conspiracy thinking Enders, Adam M. Diekman, Amanda Klofstad, Casey Murthi, Manohar Verdear, Daniel Wuchty, Stefan Uscinski, Joseph Sci Rep Article While a robust literature on the psychology of conspiracy theories has identified dozens of characteristics correlated with conspiracy theory beliefs, much less attention has been paid to understanding the generalized predisposition towards interpreting events and circumstances as the product of supposed conspiracies. Using a unique national survey of 2015 U.S. adults from October 2020, we investigate the relationship between this predisposition—conspiracy thinking—and 34 different psychological, political, and social correlates. Using conditional inference tree modeling—a machine learning-based approach designed to facilitate prediction using a flexible modeling methodology—we identify the characteristics that are most useful for orienting individuals along the conspiracy thinking continuum, including (but not limited to): anomie, Manicheanism, support for political violence, a tendency to share false information online, populism, narcissism, and psychopathy. Altogether, psychological characteristics are much more useful in predicting conspiracy thinking than are political and social characteristics, though even our robust set of correlates only partially accounts for variance in conspiracy thinking. Nature Publishing Group UK 2023-05-23 /pmc/articles/PMC10204035/ /pubmed/37221359 http://dx.doi.org/10.1038/s41598-023-34391-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Enders, Adam M. Diekman, Amanda Klofstad, Casey Murthi, Manohar Verdear, Daniel Wuchty, Stefan Uscinski, Joseph On modeling the correlates of conspiracy thinking |
title | On modeling the correlates of conspiracy thinking |
title_full | On modeling the correlates of conspiracy thinking |
title_fullStr | On modeling the correlates of conspiracy thinking |
title_full_unstemmed | On modeling the correlates of conspiracy thinking |
title_short | On modeling the correlates of conspiracy thinking |
title_sort | on modeling the correlates of conspiracy thinking |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204035/ https://www.ncbi.nlm.nih.gov/pubmed/37221359 http://dx.doi.org/10.1038/s41598-023-34391-6 |
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