Research
My research examines how digital media environments shape the conditions of perception, decision-making, and communication, from media processing to how people understand each other.
I use computational modeling, experiments, surveys, and large-scale social media data. I am interested in measurement problems and causal inference — particularly what different research designs can and cannot tell us.
Papers
The full list is in my CV.
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In-Depth Reporting on WeChat Over the Past Decade.
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Examining the Impact of Relational Trust on Preferential Use of Party Media in China: A Mediating Effect Model of Affective Perception.
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Whose Voice Matters in COVID-19 Discussion? A Network Actor Analysis Based on Weibo-COV Corpus (2019–2020).
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Media Multitasking as a Dynamic Choice Process: An Agent-Based Approach.
Presentations
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Reading A First Course in Causal Inference by Peng Ding, Ch 14–15.
HKU Quantitative Social Science Reading Group, April 2025.
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Whiting and Watts (2024): "A Framework for Quantifying Individual and Collective Commonsense."
HKU Quantitative Social Science Reading Group, November 2024.
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Revisiting the Role of Self-Esteem in Eliciting Cognitive Dissonance Using Simulated LLM Agents.
SICSS-Beijing, July 2024. Awarded SICSS Scholarship.
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Exploitation-Exploration Model of Media Multitasking (EEMM).
Mobile Studies Congress, November 2023.
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Resurgence of Party Media in China From the Perspective of Relational ("Guanxi") Trust Theory.
ICA Media Sociology Postconference, Toronto, May 2023.
Teaching
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CCGL9011 Media in the Age of Globalization
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MSDA7105 Media Data Analysis
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Oral History and Journalism