Journal article
Automatic Personality Assessment Through Social Media Language
Gregory Park, H Andrew Schwartz, Johannes C Eichstaedt, Margaret L Kern, Michal Kosinski, David J Stillwell, Lyle H Ungar, Martin EP 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;..
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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.