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Yibing Sun is a Ph.D. candidate at the School of Journalism and Mass Communication at the University of Wisconsin–Madison. Her research explores multimodal content produced, circulated, and interpreted in networked communication environments, with particular attention to visual persuasion, visual politics, and the role of emerging technologies such as artificial intelligence (AI) in shaping public understanding. Her research agenda consists of interconnected strands including Visual Meaning-Making, which focuses on macro-level analyses of visual circulation in media environments, and micro-level investigations of the effects of visual persuasion on audiences. She is also interested in AI Multimodal Communication, examining the implications of AI in communication research and practice, with particular emphasis on multimodal large language models (LLMs). This includes developing methodological tools for analyzing multimodal data and understanding how communicators can generate persuasive messages. In Fall 2025, Yibing will be teaching J677: Concepts & Tools for Data Analysis and Visualization.
Department: Department of Computer Sciences