Join the Program on Democracy and the Internet (PDI) and moderator Nate Persily, in conversation with Chenyan Jia for The Evolving Role of AI In Political News Consumption: The Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation.
This session is part of the Fall Seminar Series, a months-long series designed to bring researchers, policy makers, scholars and industry professionals together to share research, findings and trends in the cyber policy space. Both in-person (Stanford affiliation only) and virtual attendance (open to the public) is available; registration is required.
Chenyan Jia (Ph.D., The University of Texas at Austin) is a postdoctoral scholar in The Program on Democracy and the Internet (PDI) at Stanford University. In 2023 Fall, she will be joining Northeastern University as an Assistant Professor in the School of Journalism in the College of Arts, Media, and Design with a joint appointment in the Khoury College of Computer Sciences. She has been working as a research assistant for UT's Human–AI Interaction Lab.
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 to leverage AI technologies to reduce bias and promote democracy.
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. She was the recipient of the Harrington Dissertation Fellowship and the Dallas Morning News Graduate Fellowship for Journalism Innovation.