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

Perez Santangelo, Agustin et al · Nature · 2023

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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. Fil: Perez Santangelo, Agustin. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación; Argentina Fil: Solovey, Guillermo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina

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APA 7

Perez Santangelo, A. E. A. (2023). Understanding belief in political statements using a model-driven experimental approach: a registered report. http://hdl.handle.net/11336/248832

MLA

Perez Santangelo, Agustin et al. "Understanding belief in political statements using a model-driven experimental approach: a registered report." 2023. http://hdl.handle.net/11336/248832.

Chicago

Perez Santangelo, Agustin et al. 2023. "Understanding belief in political statements using a model-driven experimental approach: a registered report.". http://hdl.handle.net/11336/248832.

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Perez Santangelo, A. E. A. 2023, Understanding belief in political statements using a model-driven experimental approach: a registered report, Nature, available at: http://hdl.handle.net/11336/248832 [Accessed 8 Aug. 2026].

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Titolo
Understanding belief in political statements using a model-driven experimental approach: a registered report
Autore / collaboratori
Perez Santangelo, Agustin et al
Editore
Nature
Anno di pubblicazione
2023
ISSN
2045-2322
ISSN
2045-2322
Lingua
Inglés

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