Inferring political and religious attitudes from composite faces perceived to be related to the dark triad personality traits

dc.contributor.author Sinan Alper
dc.contributor.author Fatih Bayrak
dc.contributor.author Onurcan Yilmaz
dc.date NOV
dc.date.accessioned 2025-10-06T16:22:15Z
dc.date.issued 2021
dc.description.abstract We used composite face images perceived to have different levels of Dark Triad personality traits (narcissism psychopathy and Machiavellianism) and asked participants to predict these target individuals' religious and political identities. In Study 1 (N = 550) Turkish participants rated faces with higher levels of perceived Dark Triad traits as less likely to be religious to believe in God and more likely to be left-winger and to vote for a leftleaning party in all categories except for male narcissism. In a pre-registered follow-up study (N = 1001) we recruited a nationally representative US sample and replicated the same results with minor differences regarding male and female narcissism and voting preferences. Participants' own political and ideological identities and their stereotypical evaluation of the target groups were mostly ineffective in explaining their predictions. The results suggest that people can perceive faces with higher levels of Dark Triad traits as less religious and less conservative.
dc.identifier.doi 10.1016/j.paid.2021.111070
dc.identifier.issn 0191-8869
dc.identifier.uri http://dx.doi.org/10.1016/j.paid.2021.111070
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7300
dc.language.iso English
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof Personality and Individual Differences
dc.source PERSONALITY AND INDIVIDUAL DIFFERENCES
dc.subject Dark Triad, Face perception, Politics, Religion
dc.subject ELECTORAL SUCCESS, 1ST IMPRESSIONS, NARCISSISM, MACHIAVELLIANISM, PREDICT, METAANALYSIS, INFERENCES, IDEOLOGY, THINKING, PEOPLE
dc.title Inferring political and religious attitudes from composite faces perceived to be related to the dark triad personality traits
dc.type Article
dspace.entity.type Publication
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.startpage 111070
gdc.description.volume 182
gdc.identifier.openalex W3174234988
gdc.index.type WoS
gdc.oaire.accesstype BRONZE
gdc.oaire.diamondjournal false
gdc.oaire.impulse 2.0
gdc.oaire.influence 2.4604048E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Religion
gdc.oaire.keywords Dark Triad
gdc.oaire.keywords Face perception
gdc.oaire.keywords Politics
gdc.oaire.popularity 3.6206373E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0501 psychology and cognitive sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 0.5472
gdc.openalex.normalizedpercentile 0.68
gdc.opencitations.count 3
gdc.plumx.crossrefcites 3
gdc.plumx.facebookshareslikecount 22
gdc.plumx.mendeley 26
gdc.plumx.scopuscites 4
person.identifier.orcid Bayrak- Fatih/0000-0001-6350-6234, Yilmaz- Onurcan/0000-0002-6094-7162,
project.funder.name Yasar University Project Eval-uation Commission [BAP 090]
publicationvolume.volumeNumber 182
relation.isOrgUnitOfPublication ac5ddece-c76d-476d-ab30-e4d3029dee37
relation.isOrgUnitOfPublication.latestForDiscovery ac5ddece-c76d-476d-ab30-e4d3029dee37

Files