On Text-based Personality Computing: Challenges and Future Directions

Qixiang Fang; Anastasia Giachanou; Ayoub Bagheri; Laura Boeschoten; Erik Jan van Kesteren; Mahdi Shafiee Kamalabad; Daniel L. Oberski

doi:10.18653/v1/2023.findings-acl.691

On Text-based Personality Computing: Challenges and Future Directions

Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Text-based personality computing (TPC) has gained many research interests in NLP. In this paper, we describe 15 challenges that we consider deserving the attention of the NLP research community. These challenges are organized by the following topics: personality taxonomies, measurement quality, datasets, performance evaluation, modelling choices, as well as ethics and fairness. When addressing each challenge, not only do we combine perspectives from both NLP and social sciences, but also offer concrete suggestions. We hope to inspire more valid and reliable TPC research.

Original language	English
Title of host publication	Findings of the Association for Computational Linguistics, ACL 2023
Editors	A. Rogers, J. Boyd-Graber, N. Okazaki
Publisher	Association for Computational Linguistics (ACL)
Pages	10861-10879
Number of pages	19
ISBN (Electronic)	9781959429623
DOIs	https://doi.org/10.18653/v1/2023.findings-acl.691
Publication status	Published - 2023
Event	61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 - Toronto, Canada Duration: 9 Jul 2023 → 14 Jul 2023

Publication series

Name	Proceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)	0736-587X

Conference

Conference	61st Annual Meeting of the Association for Computational Linguistics, ACL 2023
Country/Territory	Canada
City	Toronto
Period	9/07/23 → 14/07/23

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10.18653/v1/2023.findings-acl.691Licence: CC BY

2023.findings-acl.691Final published version, 251 KBLicence: CC BY

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Fang, Q., Giachanou, A., Bagheri, A., Boeschoten, L., van Kesteren, E. J., Kamalabad, M. S., & Oberski, D. L. (2023). On Text-based Personality Computing: Challenges and Future Directions. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), Findings of the Association for Computational Linguistics, ACL 2023 (pp. 10861-10879). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.findings-acl.691

Fang, Qixiang ; Giachanou, Anastasia ; Bagheri, Ayoub et al. / On Text-based Personality Computing : Challenges and Future Directions. Findings of the Association for Computational Linguistics, ACL 2023. editor / A. Rogers ; J. Boyd-Graber ; N. Okazaki. Association for Computational Linguistics (ACL), 2023. pp. 10861-10879 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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title = "On Text-based Personality Computing: Challenges and Future Directions",

abstract = "Text-based personality computing (TPC) has gained many research interests in NLP. In this paper, we describe 15 challenges that we consider deserving the attention of the NLP research community. These challenges are organized by the following topics: personality taxonomies, measurement quality, datasets, performance evaluation, modelling choices, as well as ethics and fairness. When addressing each challenge, not only do we combine perspectives from both NLP and social sciences, but also offer concrete suggestions. We hope to inspire more valid and reliable TPC research.",

author = "Qixiang Fang and Anastasia Giachanou and Ayoub Bagheri and Laura Boeschoten and {van Kesteren}, {Erik Jan} and Kamalabad, {Mahdi Shafiee} and Oberski, {Daniel L.}",

note = "Publisher Copyright: {\textcopyright} 2023 Association for Computational Linguistics.; 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 ; Conference date: 09-07-2023 Through 14-07-2023",

year = "2023",

doi = "10.18653/v1/2023.findings-acl.691",

language = "English",

series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",

publisher = "Association for Computational Linguistics (ACL)",

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Fang, Q, Giachanou, A, Bagheri, A, Boeschoten, L, van Kesteren, EJ, Kamalabad, MS & Oberski, DL 2023, On Text-based Personality Computing: Challenges and Future Directions. in A Rogers, J Boyd-Graber & N Okazaki (eds), Findings of the Association for Computational Linguistics, ACL 2023. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), pp. 10861-10879, 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023, Toronto, Canada, 9/07/23. https://doi.org/10.18653/v1/2023.findings-acl.691

On Text-based Personality Computing: Challenges and Future Directions. / Fang, Qixiang; Giachanou, Anastasia; Bagheri, Ayoub et al.
Findings of the Association for Computational Linguistics, ACL 2023. ed. / A. Rogers; J. Boyd-Graber; N. Okazaki. Association for Computational Linguistics (ACL), 2023. p. 10861-10879 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - Text-based personality computing (TPC) has gained many research interests in NLP. In this paper, we describe 15 challenges that we consider deserving the attention of the NLP research community. These challenges are organized by the following topics: personality taxonomies, measurement quality, datasets, performance evaluation, modelling choices, as well as ethics and fairness. When addressing each challenge, not only do we combine perspectives from both NLP and social sciences, but also offer concrete suggestions. We hope to inspire more valid and reliable TPC research.

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Fang Q, Giachanou A, Bagheri A, Boeschoten L, van Kesteren EJ, Kamalabad MS et al. On Text-based Personality Computing: Challenges and Future Directions. In Rogers A, Boyd-Graber J, Okazaki N, editors, Findings of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL). 2023. p. 10861-10879. (Proceedings of the Annual Meeting of the Association for Computational Linguistics). doi: 10.18653/v1/2023.findings-acl.691

On Text-based Personality Computing: Challenges and Future Directions

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