ArticleNature communications2020
Tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Ten simple rules for socially responsible science.PLoS computational biology · 2023Article
- Using portraits to quantify the changes of generalized social trust in European history: A replication study.PloS one · 2023Article
- Quantifying the scientific revolution.Evolutionary human sciences · 2023Article
- The shallow of your smile: the ethics of expressive vocal deep-fakes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- How to Develop Reliable Instruments to Measure the Cultural Evolution of Preferences and Feelings in History?Frontiers in psychology · 2022Article
- Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches.Frontiers in pain research (Lausanne, Switzerland) · 2022Review
- Evoked and transmitted culture models: Using bayesian methods to infer the evolution of cultural traits in history.PloS one · 2022Article
- The rise of prosociality in fiction preceded democratic revolutions in Early Modern Europe.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.