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Factors Predicting Willingness to Share COVID-19 Misinformation
We conducted a preregistered exploratory survey to assess whether patterns of individual differences in political orientation, social dominance orientation (SDO), traditionalism, conspiracy ideation, or attitudes about science predict willingness to share different kinds of misinformation regarding...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541968/ https://www.ncbi.nlm.nih.gov/pubmed/33071894 http://dx.doi.org/10.3389/fpsyg.2020.566108 |
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author | Lobato, Emilio J. C. Powell, Maia Padilla, Lace M. K. Holbrook, Colin |
author_facet | Lobato, Emilio J. C. Powell, Maia Padilla, Lace M. K. Holbrook, Colin |
author_sort | Lobato, Emilio J. C. |
collection | PubMed |
description | We conducted a preregistered exploratory survey to assess whether patterns of individual differences in political orientation, social dominance orientation (SDO), traditionalism, conspiracy ideation, or attitudes about science predict willingness to share different kinds of misinformation regarding the COVID-19 pandemic online. Analyses revealed two orthogonal models of individual differences predicting the willingness to share misinformation over social media platforms. Both models suggest a sizable role of different aspects of political belief, particularly SDO, in predicting tendencies to share different kinds of misinformation, predominantly conspiracy theories. Although exploratory, results from this study can contribute to the formulation of a socio-cognitive profile of individuals who act as vectors for the spread of scientific misinformation online, and can be useful for computationally modeling misinformation diffusion. |
format | Online Article Text |
id | pubmed-7541968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75419682020-10-16 Factors Predicting Willingness to Share COVID-19 Misinformation Lobato, Emilio J. C. Powell, Maia Padilla, Lace M. K. Holbrook, Colin Front Psychol Psychology We conducted a preregistered exploratory survey to assess whether patterns of individual differences in political orientation, social dominance orientation (SDO), traditionalism, conspiracy ideation, or attitudes about science predict willingness to share different kinds of misinformation regarding the COVID-19 pandemic online. Analyses revealed two orthogonal models of individual differences predicting the willingness to share misinformation over social media platforms. Both models suggest a sizable role of different aspects of political belief, particularly SDO, in predicting tendencies to share different kinds of misinformation, predominantly conspiracy theories. Although exploratory, results from this study can contribute to the formulation of a socio-cognitive profile of individuals who act as vectors for the spread of scientific misinformation online, and can be useful for computationally modeling misinformation diffusion. Frontiers Media S.A. 2020-09-24 /pmc/articles/PMC7541968/ /pubmed/33071894 http://dx.doi.org/10.3389/fpsyg.2020.566108 Text en Copyright © 2020 Lobato, Powell, Padilla and Holbrook. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Lobato, Emilio J. C. Powell, Maia Padilla, Lace M. K. Holbrook, Colin Factors Predicting Willingness to Share COVID-19 Misinformation |
title | Factors Predicting Willingness to Share COVID-19 Misinformation |
title_full | Factors Predicting Willingness to Share COVID-19 Misinformation |
title_fullStr | Factors Predicting Willingness to Share COVID-19 Misinformation |
title_full_unstemmed | Factors Predicting Willingness to Share COVID-19 Misinformation |
title_short | Factors Predicting Willingness to Share COVID-19 Misinformation |
title_sort | factors predicting willingness to share covid-19 misinformation |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541968/ https://www.ncbi.nlm.nih.gov/pubmed/33071894 http://dx.doi.org/10.3389/fpsyg.2020.566108 |
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