A research team at the University of Barcelona has shown how artificial intelligence (AI) models can detect personality traits from written texts, and for the first time has managed to analyse in detail how these systems make decisions. These results, published in the journal PLOs One, open up new perspectives for understanding how personality manifests itself in natural language and also how more transparent and reliable automatic detection tools can be built.

The paper is signed by three UB experts: David Saeteros and David Gallardo-Pujol, researcher and director, respectively, of the Individual Differences Lab Research Group (IDLab) of the Faculty of Psychology and the Institute of Neurosciences (UBneuro), and Daniel Ortiz Martínez, researcher at the Faculty of Mathematics and Computer Science.

Full press release: https://web.ub.edu/en/web/actualitat/w/ia-models-personality

​​​​​​​ Saeteros, D., Gallardo-Pujol, D., & Ortiz-Martínez, D. (2025). Text speaks louder: Insights into personality from natural language processing. PloS one, 20(6), e0323096. https://doi.org/10.1371/journal.pone.0323096