On Text-based Personality Computing: Challenges and Future Directions
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 25 of its 151 references that are in the map. First posted on arXiv 13 Dec 2022.
Builds on
25 of 151 references.
References · 25
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13 more
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Citing papers per year: 2024: 2; 2025: 1.
3 papers.
- 2024Enhancing Textual Personality Detection toward Social Media: Integrating Long-term and Short-term Perspectivescited by 6
- 2024Integrating Multi-view Analysis: Multi-view Mixture-of-Expert for Textual Personality Detectioncited by 3
- 2025PRISM: A Personality-Driven Multi-Agent Framework for Social Media Simulationcited by 2
- 2025PRISM: A Personality-Driven Multi-Agent Framework for Social Media Simulation22 Dec 2025
- 2024Integrating Multi-view Analysis: Multi-view Mixture-of-Expert for Textual Personality Detection16 Aug 2024
- 2024Enhancing Textual Personality Detection toward Social Media: Integrating Long-term and Short-term Perspectives23 Apr 2024