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

Psychology

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

L. Safra, C. Chevallier, et al.

This intriguing study by Lou Safra, Coralie Chevallier, Julie Grèzes, and Nicolas Baumard delves into the historical rise of perceived trustworthiness in Western Europe from 1500 to 2000. By harnessing the power of machine learning to analyze facial expressions in historical portraits, the researchers reveal a fascinating upward trend in trustworthiness, suggesting a possible connection to improving living standards.

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~3 min • Beginner • English
Abstract
Social trust is linked to positive societal outcomes but is difficult to document historically. The authors design an algorithm to automatically estimate perceived trustworthiness from facial cues (e.g., smiling-related muscle contractions) detected in European portraits. Using this as a proxy for social trust, they show that estimated perceived trustworthiness in portraits increased from 1500 to 2000. Further analyses suggest this rise is associated with increased living standards.
Publisher
NATURE COMMUNICATIONS
Published On
Sep 22, 2020
Authors
Lou Safra, Coralie Chevallier, Julie Grèzes, Nicolas Baumard
Tags
trustworthiness
facial cues
historical portraits
machine learning
Western Europe
living standards
evolution

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