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Estimating Citizen Personality Traits Using Social Media Posts

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Sustainability and Empowerment in the Context of Digital Libraries (ICADL 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15494))

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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.

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Notes

  1. 1.

    https://x.com/.

  2. 2.

    https://huggingface.co/stockmark/stockmark-13b.

  3. 3.

    https://huggingface.co/ku-nlp/roberta-large-japanese-char-wwm.

  4. 4.

    https://huggingface.co/sonoisa/sentence-luke-japanese-base-lite.

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Acknowledgments

This work was partially supported by the JSPS the Grant-in-Aid for Scientific Research (B) (#23K28375), the Grant-in-Aid for Scientific Research (C) (#24K15066), and a Grant-in-Aid for Research ActivityStart-up (#22K21303). We would like to express our sincere gratitude to Tomoya Hiramoto, Shiori Oogu, and Sachiko Tachibana from the National Institute for Japanese Language and Linguistics for their great cooperation in annotating the dataset.

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Authors and Affiliations

  1. Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan

    Taisei Iwasaki

  2. Institute of Library, Information and Media Science, University of Tsukuba, Tsukuba, Japan

    Yohei Seki

  3. National Institute for Japanese Language and Linguistics, Tokyo, Japan

    Wakako Kashino

  4. Faculty of Social Data Science, Hitotsubashi University, Tokyo, Japan

    Atsushi Keyaki

  5. National Institute of Informatics, Tokyo, Japan

    Noriko Kando

  6. The Graduate University for Advanced Studies, Tokyo, Japan

    Noriko Kando

Authors
  1. Taisei Iwasaki
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  2. Yohei Seki
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  3. Wakako Kashino
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  4. Atsushi Keyaki
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  5. Noriko Kando
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Corresponding author

Correspondence to Yohei Seki .

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Editors and Affiliations

  1. Monash University, Clayton, VIC, Australia

    Gillian Oliver

  2. Monash University, Clayton, VIC, Australia

    Viviane Frings-Hessami

  3. Charles Sturt University, Bathurst, NSW, Australia

    Jia Tina Du

  4. Tsukuba University, Tsukuba, Japan

    Taro Tezuka

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Iwasaki, T., Seki, Y., Kashino, W., Keyaki, A., Kando, N. (2025). Estimating Citizen Personality Traits Using Social Media Posts. In: Oliver, G., Frings-Hessami, V., Du, J.T., Tezuka, T. (eds) Sustainability and Empowerment in the Context of Digital Libraries. ICADL 2024. Lecture Notes in Computer Science, vol 15494. Springer, Singapore. https://doi.org/10.1007/978-981-96-0868-3_10

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  • DOI: https://doi.org/10.1007/978-981-96-0868-3_10

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  • Print ISBN: 978-981-96-0867-6

  • Online ISBN: 978-981-96-0868-3

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