PhD Student in HCI & Computational Social Sciencee

Junheng (Elbert) Qian

I am a Ph.D. student in the College of Information at the University of Maryland, working with Prof. Yiwei Xu. My research sits at the intersection of Human-Computer Interaction and Computational Social Science. Recently, I focus on users behavior in the context where AI made mistakes such as AI hallucination and AI bias.

My research has been published in recognized peer-reviewed journals such as International Journal of Human-Computer Interaction and Journalism Studies. Beyond academia, I interned with the User Growth team at TikTok, where I worked on applying generative AI to identify and address user experience issues in push notifications.

I have been awarded the Dean's Scholarship and Doctoral Fellowship from the University of Maryland College of Information, as well as China's National Scholarship. I received my master's degree in Journalism and Communication from Sun Yat-sen University and my bachelor's degree in Information Management and Information Systems from the University of Electronic Science and Technology of China.

Research Interests

Research Highlights

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Human-Computer Interaction

Examining how people understand, use, and respond to information and emerging communication technologies.

HCIUser BehaviorDigital Media
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Computational Social Science

Studying how information is produced and shared in the digital age through computational approaches.

Computational CommunicationText MiningDigital Information
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Information and Media Effects

Investigating the social and behavioral effects of media and information exposure in everyday life.

Media EffectsInformation ScienceCommunication Studies

News

Latest Updates

2026-06-30

Received an M.A. in Communication from Sun Yat-sen University with honors as an Outstanding Graduate.

2025-11-17

Out in the International Journal of Human-Computer Interaction: work with Prof. Zhijing Zhong on user understanding and interaction strategies in response to moral failures in GenAI chatbots, especially gender bias, through three online experiments.

2024-04-18

A large-scale analysis of one million tweets from 60 Chinese media outlets on Twitter, co-authored with Prof. Zhijing Zhong, was published in Journalism & Communication Research, a leading journal in Chinese journalism and communication, examining patterns of news homogenization in Chinese media.