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Artículo

Understanding belief in political statements using a model-driven experimental approach: a registered report

Perez Santangelo, AgustinIcon ; Solovey, GuillermoIcon
Fecha de publicación: 01/12/2023
Editorial: Nature
Revista: Scientific Reports
ISSN: 2045-2322
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Naturales y Exactas

Resumen

Misinformation harms society by affecting citizens´ beliefs and behaviour. Recent research has shown that partisanship and cognitive reflection (i.e. engaging in analytical thinking) play key roles in the acceptance of misinformation. However, the relative importance of these factors remains a topic of ongoing debate. In this registered study, we tested four hypotheses on the relationship between each factor and the belief in statements made by Argentine politicians. Participants (N = 1353) classified fact-checked political statements as true or false, completed a cognitive reflection test, and reported their voting preferences. Using Signal Detection Theory and Bayesian modeling, we found a reliable positive association between political concordance and overall belief in a statement (median = 0.663, CI95 = [0.640, 0.685]), a reliable positive association between cognitive reflection and scepticism (median = 0.039, CI95 = [0.006, 0.072]), a positive but unreliable association between cognitive reflection and truth discernment (median = 0.016, CI95 = [− 0.015, 0.046]) and a positive but unreliable association between cognitive reflection and partisan bias (median = 0.016, CI95 = [− 0.006, 0.037]). Our results highlight the need to further investigate the relationship between cognitive reflection and partisanship in different contexts and formats.
Palabras clave: SIGNAL DETECTION THEORY , MISINFORMATION , BAYESIAN MODELS , STATISTICS
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution 2.5 Unported (CC BY 2.5)
Identificadores
URI: http://hdl.handle.net/11336/248832
DOI: http://dx.doi.org/10.1038/s41598-023-47939-3
URL: https://www.nature.com/articles/s41598-023-47939-3#citeas
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Articulos (IC)
Articulos de INSTITUTO DE CALCULO
Articulos(ICC)
Articulos de INSTITUTO DE INVESTIGACION EN CIENCIAS DE LA COMPUTACION
Citación
Perez Santangelo, Agustin; Solovey, Guillermo; Understanding belief in political statements using a model-driven experimental approach: a registered report; Nature; Scientific Reports; 13; 1; 1-12-2023; 1-20
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