How People Respond to the COVID-19 Pandemic on Twitter: A Comparative Analysis of Emotional Expressions from US and India. - Brandon Siyuan Loh; Raj Kumar Gupta; Ajay Vishwanath; Andrew Ortony; Yinping Yang (CoRR, 2023)

Enhancing Stance Classification with Quantified Moral Foundations. - Hong Zhang; Prasanta Bhattacharya; Wei Gao 001; Liang Ze Wong; Brandon Siyuan Loh; Joseph J. P. Simons; Jisun An (CoRR, 2023)

Enhancing Stance Classification on Social Media Using Quantified Moral Foundations. - Hong Zhang; Quoc-Nam Nguyen; Prasanta Bhattacharya; Wei Gao 001; Liang Ze Wong; Brandon Siyuan Loh; Joseph J. P. Simons; Jisun An (ASONAM (1), 2024)

From traces to measures: Large language models as a tool for psychological measurement from text. - Joseph J. P. Simons; Liang Ze Wong; Prasanta Bhattacharya; Brandon Siyuan Loh; Wei Gao 001 (CoRR, 2024)

Predicting User Stances from Target-Agnostic Information using Large Language Models. - Brandon Siyuan Loh; Liang Ze Wong; Prasanta Bhattacharya; Joseph J. P. Simons; Wei Gao 001; Hong Zhang (CoRR, 2024)

Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models. - Prasanta Bhattacharya; Hong Zhang; Yiming Cao; Wei Gao 001; Brandon Siyuan Loh; Joseph J. P. Simons; Liang Ze Wong (CoRR, 2025)

Investigating the effectiveness of multimodal data in forecasting SARS-COV-2 case surges. - Palur Venkata Raghuvamsi; Brandon Siyuan Loh; Prasanta Bhattacharya; Joses Ho; Raphael Tze Chuen Lee; Alvin X. Han; Sebastian Maurer-Stroh (CoRR, 2025)