Tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings
Autor: | Safra, Lou, Chevallier, Coralie, Grèzes, Julie, Baumard, Nicolas |
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Přispěvatelé: | BULTEL, Charlotte, Laboratoire de Neurosciences Cognitives & Computationnelles (LNC2), Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Jean-Nicod (IJN), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Collège de France (CdF (institution))-Centre National de la Recherche Scientifique (CNRS)-Département de Philosophie - ENS Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Sciences Po (Sciences Po), Centre de recherches politiques de Sciences Po (Sciences Po, CNRS) (CEVIPOF), Sciences Po (Sciences Po)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), École des hautes études en sciences sociales (EHESS), Centre de recherches politiques de Sciences Po (CEVIPOF) |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Male
History [SHS.ANTHRO-SE] Humanities and Social Sciences/Social Anthropology and ethnology Science [SCCO] Cognitive science [SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnology Trust Article Europe Facial Expression Machine Learning [SCCO]Cognitive science [SHS.EVOLUTION]Humanities and Social Sciences/domain_shs.evolution Social Perception Face Human behaviour Humans lcsh:Q Female Paintings Cues lcsh:Science Algorithms ComputingMilieux_MISCELLANEOUS |
Zdroj: | Nature Communications, Vol 11, Iss 1, Pp 1-7 (2020) Nature Communications Nature Communications, 2020, 11 (1), ⟨10.1038/s41467-020-18566-7⟩ Nature Communications, Nature Publishing Group, 2020, 11 (1), ⟨10.1038/s41467-020-18566-7⟩ |
ISSN: | 2041-1723 |
DOI: | 10.1038/s41467-020-18566-7⟩ |
Popis: | Social trust is linked to a host of positive societal outcomes, including improved economic performance, lower crime rates and more inclusive institutions. Yet, the origins of trust remain elusive, partly because social trust is difficult to document in time. Building on recent advances in social cognition, we design an algorithm to automatically generate trustworthiness evaluations for the facial action units (smile, eye brows, etc.) of European portraits in large historical databases. Our results show that trustworthiness in portraits increased over the period 1500–2000 paralleling the decline of interpersonal violence and the rise of democratic values observed in Western Europe. Further analyses suggest that this rise of trustworthiness displays is associated with increased living standards. 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. |
Databáze: | OpenAIRE |
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