Xinchen Yu

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I am an Assistant Professor of Practice in the Department of Computer Science at the University of Arizona. I obtained my Ph.D. from the Department of Information Science at the University of North Texas.

My research lies at the intersection of Natural Language Processing (NLP) and Computational Social Science (CSS). The primary goal of my research is to enable computers to understand human behavior in conversations and promote better communication outcomes.

My research interests involve:

  • [Behaviors] I develop robust AI models to identify individual conversational behaviors (e.g., hate speech, counterspeech, self-disclosure, social support).
  • [Conversational Outcomes] I explore novel methods to measure and forecast collective behaviors as conversational outcomes (e.g., conversation incivility).
  • [Behaviors⟹Conversational Outcomes] I investigate how individual behaviors, and their interactions with broader social contexts (e.g., community norms) or information environments (e.g., media bias), shape conversational outcomes.

news

May 20, 2025 Our panel on Researching Health Information Behaviors: Landscape, AI’s Role and Its Impact has been accepted by ASIS&T 2025!
Apr 28, 2025 Co-organizing the workshop on Considering Cultural and Linguistic Diversity in AI Applications (CALD-AI 2025).
Mar 29, 2025 Co-organizing the Women in Data Science Worldwide Tucson Conference (WiDS 2025).
Nov 15, 2024 Our paper on the Role of Antisocial and Prosocial Behaviors in Measuring Conversation Incivility has been accepted by ICWSM 2025!
Nov 6, 2024 I serve as Area Chair of the 31st International Conference on Computational Linguistics (COLING 2025).