1 citations · 1 across the 3 of their papers we have counts for
4 papers · 1 filter
ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representation
Yitong Han, Wei Gao, Yi Zhao +3
Value signals are aggregated user-level moral representations that capture users' inferred value-related tendencies from their online discourse. User behavior on social media is sh…
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…
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…
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…