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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.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…
cs.CL2024
Predicting User Stances from Target-Agnostic Information using Large Language Models
Siyuan Brandon Loh, Liang Ze Wong, Prasanta Bhattacharya +3
We investigate Large Language Models' (LLMs) ability to predict a user's stance on a target given a collection of his/her target-agnostic social media posts (i.e., user-level stanc…