My research areas are Natural Language Processing and Computational Social Science. More specifically, my research focuses on using machine learning and natural language processing techniques to improve information quality, organization and access, especially in the science and health domain. I am particularly interested in linguistic patterns that characterize people’s opinions, emotions, and language styles, and their roles in information representation and sharing in science literature, news and social media. My most recent work focuses on computational modeling of misinformation in science news. For example, I developed new methods for identifying exaggerated claims in science news by extracting and comparing claims from news articles and research papers. I also collaborate with social scientists to computationally operationalize social science theories and concepts to answer research questions in a variety of domains, such as political science, business, and mass communication. My work has been supported by funding sources including NSF, IMLS, and Microsoft.