Personality, gender, and age in the language of social media: the open-vocabulary approach

PLoS One. 2013 Sep 25;8(9):e73791. doi: 10.1371/journal.pone.0073791. eCollection 2013.

Abstract

We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-vocabulary technique, the data itself drives a comprehensive exploration of language that distinguishes people, finding connections that are not captured with traditional closed-vocabulary word-category analyses. Our analyses shed new light on psychosocial processes yielding results that are face valid (e.g., subjects living in high elevations talk about the mountains), tie in with other research (e.g., neurotic people disproportionately use the phrase 'sick of' and the word 'depressed'), suggest new hypotheses (e.g., an active life implies emotional stability), and give detailed insights (males use the possessive 'my' when mentioning their 'wife' or 'girlfriend' more often than females use 'my' with 'husband' or 'boyfriend'). To date, this represents the largest study, by an order of magnitude, of language and personality.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors*
  • Female
  • Humans
  • Language
  • Male
  • Personality*
  • Sex Factors*
  • Social Media*
  • Vocabulary*

Grant support

Support for this research was provided by the Robert Wood Johnson Foundation's Pioneer Portfolio, through a grant to Martin Seligman, “Exploring Concept of Positive Health”. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.