Chenyan Jia

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 lie at the intersection of communication and human-computer interaction. Her work has examined (a) the influence of emerging media technologies such as automated journalism and misinformation detection algorithms on people’s political attitudes and news consumption behaviors; (b) the political bias in news coverage through NLP techniques; (c) how we can leverage AI technologies to reduce bias. Her research has appeared in mass communication journals and top-tier AI and HCI venues including Human-Computer Interaction Journal (CSCW), Journal of Artificial Intelligence, International Journal of Communication, Media and Communication, ICLR, ICWSM, EMNLP, ACL, and AAAI. Her research has been awarded the Best Paper Award at AAAI '21.

Chenyan Jia operates a website named NewsCoding, which provides practical guidance for journalists and researchers on how to apply algorithms and technologies into practice. She wrote about statistical analysis using R and misinformation detection algorithms.

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