3 papers
cs.CL2025
Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models
Prasanta Bhattacharya, Hong Zhang, Yiming Cao +4
Stance detection has emerged as a popular task in natural language processing research, enabled largely by the abundance of target-specific social media data. While there has been…
cs.HC2024
From traces to measures: Large language models as a tool for psychological measurement from text
Joseph J. P. Simons, Wong Liang Ze, Prasanta Bhattacharya +2
Large language models are increasingly being used to label or rate psychological features in text data. This approach helps address one of the limiting factors of digital trace dat…
cs.CL2024
Enhancing Stance Classification on Social Media Using Quantified Moral Foundations
Hong Zhang, Quoc-Nam Nguyen, Prasanta Bhattacharya +5
This study enhances stance detection on social media by incorporating deeper psychological attributes, specifically individuals' moral foundations. These theoretically-derived dime…