Journal article
Automatic personality assessment through social media language
G Park, H Andrew Schwartz, JC Eichstaedt, ML Kern, M Kosinski, DJ Stillwell, LH Ungar, MEP Seligman
Journal of Personality and Social Psychology | AMER PSYCHOLOGICAL ASSOC | Published : 2015
DOI: 10.1037/pspp0000020
Abstract
Language use is a psychologically rich, stable individual difference with well-established correlations to personality. We describe a method for assessing personality using an open-vocabulary analysis of language from social media. We compiled the written language from 66,732 Facebook users and their questionnaire-based self-reported Big Five personality traits, and then we built a predictive model of personality based on their language. We used this model to predict the 5 personality factors in a separate sample of 4,824 Facebook users, examining (a) convergence with self-reports of personality at the domain- and facet-level; (b) discriminant validity between predictions of distinct traits;..
View full abstractGrants
Funding Acknowledgements
Support for this publication was provided by the Robert Wood Johnson Foundation's Pioneer Portfolio, through the "Exploring Concepts of Positive Health" grant awarded to Martin Seligman, by a grant from the Templeton Religion Trust, and by the University of Pennsylvania Positive Psychology Center.