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.

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Bibliographic Details
Main Authors: Lou Safra, Coralie Chevallier, Julie Grèzes, Nicolas Baumard
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
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Online Access:https://doaj.org/article/643a7fbb78874b97ab07648f44f19b1a
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