Tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings

Quantifying how social trust evolved throughout history can help us understand the long-run dynamics of our societies. Here, the authors show an increase in displays of trustworthiness, using a face processing algorithm on early to modern European portraits.

Guardado en:
Detalles Bibliográficos
Autores principales: Lou Safra, Coralie Chevallier, Julie Grèzes, Nicolas Baumard
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Q
Acceso en línea:https://doaj.org/article/643a7fbb78874b97ab07648f44f19b1a
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:643a7fbb78874b97ab07648f44f19b1a
record_format dspace
spelling oai:doaj.org-article:643a7fbb78874b97ab07648f44f19b1a2021-12-02T15:15:24ZTracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings10.1038/s41467-020-18566-72041-1723https://doaj.org/article/643a7fbb78874b97ab07648f44f19b1a2020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18566-7https://doaj.org/toc/2041-1723Quantifying how social trust evolved throughout history can help us understand the long-run dynamics of our societies. Here, the authors show an increase in displays of trustworthiness, using a face processing algorithm on early to modern European portraits.Lou SafraCoralie ChevallierJulie GrèzesNicolas BaumardNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Lou Safra
Coralie Chevallier
Julie Grèzes
Nicolas Baumard
Tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings
description Quantifying how social trust evolved throughout history can help us understand the long-run dynamics of our societies. Here, the authors show an increase in displays of trustworthiness, using a face processing algorithm on early to modern European portraits.
format article
author Lou Safra
Coralie Chevallier
Julie Grèzes
Nicolas Baumard
author_facet Lou Safra
Coralie Chevallier
Julie Grèzes
Nicolas Baumard
author_sort Lou Safra
title Tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings
title_short Tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings
title_full Tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings
title_fullStr Tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings
title_full_unstemmed Tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings
title_sort tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/643a7fbb78874b97ab07648f44f19b1a
work_keys_str_mv AT lousafra trackinghistoricalchangesintrustworthinessusingmachinelearninganalysesoffacialcuesinpaintings
AT coraliechevallier trackinghistoricalchangesintrustworthinessusingmachinelearninganalysesoffacialcuesinpaintings
AT juliegrezes trackinghistoricalchangesintrustworthinessusingmachinelearninganalysesoffacialcuesinpaintings
AT nicolasbaumard trackinghistoricalchangesintrustworthinessusingmachinelearninganalysesoffacialcuesinpaintings
_version_ 1718387509785788416