Automatic personality assessment through social media language.
University of Pennsylvania · University of Cambridge
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; (c) agreement with…
Citation impact
- FWCI
- 43.08
- Percentile
- 100%
- References
- 60
Authors
8Topics & keywords
- Psychology
- Personality
- Facet (psychology)
- Big Five personality traits
- Incremental validity
- Big Five personality traits and culture
- Personality Assessment Inventory
- Social media
- Reduced inequalities