Conference Paper Published

Abstract

Research on empathy computation within the context of disaster narratives is the primary focus of this study. We aim to model the emotional dimensions of empathy while systematically exploring its cognitive and social aspects through linguistic features. By analyzing empathy in social media data, we provide a theory-grounded account of its communication patterns, drawing on principles of embodiment and trust concerning social behaviors. Findings reveal that individuals with higher levels of empathy are more likely to use concrete language to convey intentions that foster connection and broader social engagement. Our work demonstrates how language, emotion, and social cognition interact, offering a computational investigation of empathy that may contribute to new perspectives in language technology and communication.