Estimating Citizen Personality Traits Using Social Media Posts

Taisei Iwasaki, Yohei Seki, Wakako Kashino, Atsushi Keyaki, Noriko Kando

Abstract: Personality traits are crucial factors that influence individual behavior and responses. In this study, we introduced both personality traits and experience traits in an analysis of the characteristics of citizens using social media posts from different cities. The personality traits referenced some facets of the “Big Five Model” of personality. The experience traits were introduced considering the close relationship between personality traits and behavior. Specifically, we labeled social media posts from each city with two labels, representing a personality trait and an experience trait. We then examined how these traits reflect the tendencies in citizens’ behavior. The personality traits defined in this study were “Altruism,” “Artistic Interest,” “Adventurousness,” “Gregariousness,” and “Activity.” We assigned the labels manually and fine-tuned large language models to assign the personality trait labels to cities automatically. Finally, we analyzed the differences in personality trait trends between cities. Our experimental results showed that the F1 scores of the prediction models for both personality traits and experience traits exceeded 0.8. The analysis of social media posts using the trained models demonstrated that the citizens of a certain city had significantly higher scores for the personality traits “Artistic Interest” and “Gregariousness” than those from other cities, which was consistent with the results of previous questionnaire-based studies.

External IDs:dblp:conf/icadl/IwasakiSKKK24