Toward personality insights from language exploration in social media

H. Andrew Schwartz, Johannes C. Eichstaedt, Lukasz Dziurzynski, Margaret L. Kern, Martin E.P. Seligman, Lyle H. Ungar, Eduardo Blanco, Michal Kosinski, David Stillwell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 Scopus citations

Abstract

Language in social media reveals a lot about people's personality and mood as they discuss the activities and relationships that constitute their everyday lives. Although social media are widely studied, researchers in computational linguistics have mostly focused on prediction tasks such as sentiment analysis and authorship attribution. In this paper, we show how social media can also be used to gain psychological insights. We demonstrate an exploration of language use as a function of age, gender, and personality from a dataset of Facebook posts from 75,000 people who have also taken personality tests, and we suggest how more sophisticated tools could be brought to bear on such data.

Original languageEnglish (US)
Title of host publicationAnalyzing Microtext - Papers from the AAAI Spring Symposium, Technical Report
Pages72-79
Number of pages8
StatePublished - 2013
Externally publishedYes
Event2013 AAAI Spring Symposium - Palo Alto, CA, United States
Duration: Mar 25 2013Mar 27 2013

Publication series

NameAAAI Spring Symposium - Technical Report
VolumeSS-13-01

Conference

Conference2013 AAAI Spring Symposium
Country/TerritoryUnited States
CityPalo Alto, CA
Period3/25/133/27/13

ASJC Scopus subject areas

  • Artificial Intelligence

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