@inproceedings{fang-etal-2023-text,
    title = "On Text-based Personality Computing: Challenges and Future Directions",
    author = "Fang, Qixiang  and
      Giachanou, Anastasia  and
      Bagheri, Ayoub  and
      Boeschoten, Laura  and
      van Kesteren, Erik-Jan  and
      Shafiee Kamalabad, Mahdi  and
      Oberski, Daniel",
    editor = "Rogers, Anna  and
      Boyd-Graber, Jordan  and
      Okazaki, Naoaki",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-acl.691",
    doi = "10.18653/v1/2023.findings-acl.691",
    pages = "10861--10879",
    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.",
}

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.
Fang, Qixiang Giachanou, Anastasia Bagheri, Ayoub Boeschoten, Laura van Kesteren, Erik-Jan Shafiee Kamalabad, Mahdi Oberski, Daniel
On Text-based Personality Computing: Challenges and Future Directions