Mostrar el registro sencillo del ítem
dc.contributor.author
Perez Santangelo, Agustin

dc.contributor.author
Solovey, Guillermo

dc.date.available
2024-11-28T10:00:11Z
dc.date.issued
2023-12-01
dc.identifier.citation
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
dc.identifier.issn
2045-2322
dc.identifier.uri
http://hdl.handle.net/11336/248832
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Nature

dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
SIGNAL DETECTION THEORY
dc.subject
MISINFORMATION
dc.subject
BAYESIAN MODELS
dc.subject
STATISTICS
dc.subject.classification
Otras Ciencias Naturales y Exactas

dc.subject.classification
Otras Ciencias Naturales y Exactas

dc.subject.classification
CIENCIAS NATURALES Y EXACTAS

dc.title
Understanding belief in political statements using a model-driven experimental approach: a registered report
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-11-25T15:40:10Z
dc.journal.volume
13
dc.journal.number
1
dc.journal.pagination
1-20
dc.journal.pais
Reino Unido
dc.description.fil
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
dc.description.fil
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
dc.journal.title
Scientific Reports
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1038/s41598-023-47939-3
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-023-47939-3#citeas
Archivos asociados