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 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.
@article{arxiv.2212.06711,
title = {On Text-based Personality Computing: Challenges and Future Directions},
author = {Qixiang Fang and Anastasia Giachanou and Ayoub Bagheri and Laura Boeschoten and Erik-Jan van Kesteren and Mahdi Shafiee Kamalabad and Daniel L Oberski},
journal= {arXiv preprint arXiv:2212.06711},
year = {2023}
}