Chenyan Jia (MA, Peking University) is a Ph.D. Candidate and Innovation Fellow in the School of Journalism in the Moody College of Communication at The University of Texas at Austin. She holds the Dallas Morning News Graduate Fellowship for Journalism Innovation. Her research interests include algorithmic bias, automated journalism, human-computer interaction, and computational social science. She is especially interested in how algorithms and other digital technologies affect the media industry and the public. She mainly uses experiments to study human perceptions of algorithm-related technologies.
Chenyan Jia has published several peer-reviewed journal and conference papers in the intersection of communication, human-computer interaction (HCI), and natural language processing (NLP) including the International Journal of Communication, Human Computer Interaction Journal - ACM Conference on Computer–Supported Cooperative Work and Social Computing (CSCW), 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.