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Proceedings of the National Academy of Sciences of the United States of America|April 22, 2026
A simple threshold captures the social learning of conventionsDouglas Guilbeault, Spencer Caplan, Charles YangCognition|October 3, 2020
Miller's monkey updated: Communicative efficiency and the statistics of words in natural languageSpencer Caplan, Jordan Kodner, Charles YangPlos One|February 7, 2020
Networked collective intelligence improves dissemination of scientific information regarding smoking risksDouglas Guilbeault, Damon CentolaNature Communications|July 21, 2021
Topological measures for identifying and predicting the spread of complex contagionsDouglas Guilbeault, Damon CentolaNature Communications|January 13, 2021
Experimental evidence for scale-induced category convergence across populationsDouglas Guilbeault, Andrea Baronchelli, Damon CentolaPlos One|March 10, 2021
Probabilistic social learning improves the public's judgments of news veracityDouglas Guilbeault, Samuel Woolley, Joshua BeckerProceedings of the National Academy of Sciences of the United States of America|September 6, 2018
Social learning and partisan bias in the interpretation of climate trendsDouglas Guilbeault, Joshua Becker, Damon CentolaNature|October 8, 2025
Age and gender distortion in online media and large language modelsDouglas Guilbeault, Solène Delecourt, Bhargav Srinivasa DesikanNature Communications|November 16, 2021
The reduction of race and gender bias in clinical treatment recommendations using clinician peer networks in an experimental settingDamon Centola, Douglas Guilbeault, Urmimala Sarkar, et al.Pageof 5