My research interests lie at the intersection of Computational Social Science and Natural Language Processing (NLP). More specifically, I am interested in bringing computational models and social science theories together, to analyze texts and better understand and explain real-world behaviors, attitudes, and cultures. My research goal is to develop "socially-aware" NLP models that bring social and cultural contexts in analyzing (human) language to better capture attributes, such as social identities, stances, morals, and power from language, and understand real-world communication. A sample of research topics that I am especially interested in at the moment: analysis of polarized viewpoints on social media (i.e., cross-cutting exposures) extracting and investigating the long-term impact of information products on people and societies leveraging user-generated texts and images to analyze people's moral perceptions and viewpoints summarization of scientific articles structural balance and stability in social networks linguistic properties of online social movements research interests: computational social science, natural language processing, human-centered data science, machine learning, social network analysis, digital humanities, social computing