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.

Bibliographic Details
Main Authors: Lou Safra, Coralie Chevallier, Julie Grèzes, Nicolas Baumard
Format: Article
Language:English
Published: Nature Publishing Group 2020-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-18566-7