How Users' Personality Traits Predict Sentiment Tendencies of User‐Generated Content in Social Media: A Mixed Method of Configuration Analysis and Machine Learning
The study suggests that the sentiment tendencies pattern of UGC can be discovered via the configurations of various dimensions of personality traits.
Authors
- Lesley Pek Wee Land (ORCID: https://orcid.org/0000-0002-9426-1951)
- Jianyue Xu (ORCID: https://orcid.org/0000-0003-1748-3654)
- Wenli Li (ORCID: https://orcid.org/0000-0001-8711-5094)
- Ling Zhao
- Yongqing Yang
Institutions
- Shenyang University of Technology (CN)
- Dalian University of Technology (CN)
- UNSW Sydney (AU)
- Huazhong University of Science and Technology (CN)
- Shandong Institute of Business and Technology (CN)
Publication Details
- Journal
- Journal of Personality
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1111/jopy.13000
- Citations
- 1
- Primary Topic
- Qualitative Comparative Analysis Research
- Type
- article
- Field-Weighted Citation Impact
- 1.13
Funders
- National Social Science Fund of China