Facial recognition technology can expose political orientation from naturalistic facial images

Abstract Ubiquitous facial recognition technology can expose individuals’ political orientation, as faces of liberals and conservatives consistently differ. A facial recognition algorithm was applied to naturalistic images of 1,085,795 individuals to predict their political orientation by comparing...

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Autor principal: Michal Kosinski
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/e21ee1866fda470b95ee95b9e2fb0d67
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spelling oai:doaj.org-article:e21ee1866fda470b95ee95b9e2fb0d672021-12-02T14:01:20ZFacial recognition technology can expose political orientation from naturalistic facial images10.1038/s41598-020-79310-12045-2322https://doaj.org/article/e21ee1866fda470b95ee95b9e2fb0d672021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79310-1https://doaj.org/toc/2045-2322Abstract Ubiquitous facial recognition technology can expose individuals’ political orientation, as faces of liberals and conservatives consistently differ. A facial recognition algorithm was applied to naturalistic images of 1,085,795 individuals to predict their political orientation by comparing their similarity to faces of liberal and conservative others. Political orientation was correctly classified in 72% of liberal–conservative face pairs, remarkably better than chance (50%), human accuracy (55%), or one afforded by a 100-item personality questionnaire (66%). Accuracy was similar across countries (the U.S., Canada, and the UK), environments (Facebook and dating websites), and when comparing faces across samples. Accuracy remained high (69%) even when controlling for age, gender, and ethnicity. Given the widespread use of facial recognition, our findings have critical implications for the protection of privacy and civil liberties.Michal KosinskiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Michal Kosinski
Facial recognition technology can expose political orientation from naturalistic facial images
description Abstract Ubiquitous facial recognition technology can expose individuals’ political orientation, as faces of liberals and conservatives consistently differ. A facial recognition algorithm was applied to naturalistic images of 1,085,795 individuals to predict their political orientation by comparing their similarity to faces of liberal and conservative others. Political orientation was correctly classified in 72% of liberal–conservative face pairs, remarkably better than chance (50%), human accuracy (55%), or one afforded by a 100-item personality questionnaire (66%). Accuracy was similar across countries (the U.S., Canada, and the UK), environments (Facebook and dating websites), and when comparing faces across samples. Accuracy remained high (69%) even when controlling for age, gender, and ethnicity. Given the widespread use of facial recognition, our findings have critical implications for the protection of privacy and civil liberties.
format article
author Michal Kosinski
author_facet Michal Kosinski
author_sort Michal Kosinski
title Facial recognition technology can expose political orientation from naturalistic facial images
title_short Facial recognition technology can expose political orientation from naturalistic facial images
title_full Facial recognition technology can expose political orientation from naturalistic facial images
title_fullStr Facial recognition technology can expose political orientation from naturalistic facial images
title_full_unstemmed Facial recognition technology can expose political orientation from naturalistic facial images
title_sort facial recognition technology can expose political orientation from naturalistic facial images
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/e21ee1866fda470b95ee95b9e2fb0d67
work_keys_str_mv AT michalkosinski facialrecognitiontechnologycanexposepoliticalorientationfromnaturalisticfacialimages
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