Chenyan Jia (MA, Peking University) is a Ph.D. Candidate and Innovation Fellow in the Moody College of Communication at The University of Texas at Austin. Chenyan is a research assistant for UT Human-AI Interaction Lab. She holds the Harrington Dissertation Fellowship and the Dallas Morning News Graduate Fellowship for Journalism Innovation.
Her research interests include algorithmic bias, human-computer interaction, and computational social science. She is especially interested in how new media technologies such as automated journalism and misinformation detection algorithms affect the media industry and the public's political attitudes. She mainly uses online experiments to study human perceptions of algorithm-related technologies. She has published peer-reviewed journal and conference papers in the intersection of communication, human-computer interaction (HCI), and natural language processing (NLP) including Human-Computer Interaction Journal (CSCW), International Journal of Communication, International AAAI Conference on Web and Social Media (ICWSM), Conference on Empirical Methods in Natural Language Processing (EMNLP), and AAAI Conference on Artificial Intelligence (AAAI).
Chenyan Jia has a personal website named NewsCoding, which provides practical guidance for journalists and researchers on how to apply algorithms and technologies into practice. She wrote several pieces on her website such as an introduction to statistical analysis using R and misinformation detection algorithms.
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