Using Written Language as Indicator of Personality: a Meta-Analytic Study on Computational Models of Language

EasyChair Preprint 6109

Abstract

Written language can be used to measure the Big Five personality traits using computational models of language. The aim of this study is to test the moderating role of different variables of computational models in a meta-analysis of 23 independent estimates. While the results showed significant combined estimates of the correlations for the five traits, these estimates were moderated by the type of information in the texts, the use of prediction mechanisms, and the source of publication of the primary studies. It is concluded that written language analyzed through computational methods could be used to extract relevant information of personality.

Keyphrases: Personality, computational models of language, language, meta-analysis

@booklet{EasyChair:6109,
  author    = {José David Moreno and José Ángel Martínez-Huertas and Ricardo Olmos and Guillermo Jorge-Botana and Juan Botella},
  title     = {Using Written Language as Indicator of Personality: a Meta-Analytic Study on Computational Models of Language},
  howpublished = {EasyChair Preprint 6109},
  year      = {EasyChair, 2021}}