3 citations · 3 across the 4 of their papers we have counts for
5 papers
Investigating the effectiveness of multimodal data in forecasting SARS-COV-2 case surges
Palur Venkata Raghuvamsi, Siyuan Brandon Loh, Prasanta Bhattacharya +4
The COVID-19 pandemic response relied heavily on statistical and machine learning models to predict key outcomes such as case prevalence and fatality rates. These predictions were…
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…
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…
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…
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 +2
The COVID-19 pandemic has claimed millions of lives worldwide and elicited heightened emotions. This study examines the expression of various emotions pertaining to COVID-19 in the…