Chenyan Jia
(she/her/hers)
Assistant Professor

Education
- PhD in Journalism and Media, The University of Texas at Austin
- MA in Communication, Peking University — China
- BA in Communication, Huazhong University of Science and Technology — China
- BA in English (dual degree), Wuhan University — China
Biography
Chenyan Jia is an assistant professor in the Khoury College of Computer Sciences and the College of Arts, Media and Design at Northeastern University, based in Boston.
Jia joined Northeastern in 2023 after a postdoctoral fellowship at Stanford University. Her research sits at the intersection of human–computer interaction and mass communication, examining human-centered AI design, the influence of emerging media technologies on people’s attitudes and behaviors, and the spread of misinformation.
Jia's research typically appears in mass communication journals as well as top-tier AI and HCI venues, including CSCW, ICWSM, AAAI, New Media & Society, Mass Communication and Society, and Journal of Artificial Intelligence. Her research has been awarded the Best Paper Award at AAAI 21. Her research was supported by Stanford Institute for Human-Centered Artificial Intelligence (HAI), the UT Human–AI Interaction Lab, and the Stanford Cyber Policy Center. She received the Harrington Dissertation Fellowship.
Recent publications
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Training Socially Aligned Language Models on Simulated Social Interactions
Citation: Ruibo Liu, Ruixin Yang, Chenyan Jia, Ge Zhang, Diyi Yang, Soroush Vosoughi. (2024). Training Socially Aligned Language Models on Simulated Social Interactions ICLR. https://openreview.net/forum?id=NddKiWtdUm -
Non-Parallel Text Style Transfer with Self-Parallel Supervision
Citation: Ruibo Liu, Chongyang Gao, Chenyan Jia, Guangxuan Xu, Soroush Vosoughi. (2022). Non-Parallel Text Style Transfer with Self-Parallel Supervision ICLR. https://openreview.net/forum?id=-TSe5o7STVR -
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits
Citation: Ruibo Liu, Chenyan Jia, Ge Zhang, Ziyu Zhuang, Tony X. Liu, Soroush Vosoughi. (2022). Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits NeurIPS. http://papers.nips.cc/paper_files/paper/2022/hash/01c4593d60a020fed5607944330106b1-Abstract-Conference.html -
Mitigating Political Bias in Language Models through Reinforced Calibration
Citation: Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi. (2021). Mitigating Political Bias in Language Models through Reinforced Calibration AAAI, 14857-14866. https://doi.org/10.1609/aaai.v35i17.17744