Publicación: Can personality traits be measured analyzing written language? A meta-analytic study on computational methods
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Fecha
2021
Autores
Moreno, José David
Olmos, Ricardo
Jorge Botana, Guillermo de
Botella, Juan
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Derechos de acceso
Atribución-NoComercial-SinDerivadas 4.0 Internacional
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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Editor
Elsevier
Resumen
In the last two decades, empirical evidence has shown that personality traits could be related to the characteristics of written language. This study describes a meta-analysis that synthesizes 23 independent estimates of the correlations between the Big Five major personality traits, and some computationally obtained indicators from written language. The results show significant combined estimates of the correlations, albeit small to moderate according to Cohen’s conventions to interpret effect sizes, for the five traits (between r = 0.26 for agreeableness and neuroticism, and 0.30 for openness). These estimates are moderated by the type of information in the texts, the use of prediction mechanisms, and the source of publication of the primary studies. Generally, the same effective moderators operate for the five traits. It is concluded that written language analyzed through computational methods could be used to extract relevant information of personality. But further research is still needed to consider it as predictive or explanatory tool for individual differences.
Descripción
Categorías UNESCO
Palabras clave
Meta-analysis, Personality, Big five, Language, Computational models of language
Citación
Centro
Facultad de Psicología
Departamento
Metodología de las Ciencias del Comportamiento