The Unequal Making of Public Knowledge

How communication shapes what publics come to know, how information is amplified or distorted, and who is positioned to respond.

My research approaches this problem through three connected processes: Diffusion, Distortion, and Disparity. Together, they examine how information moves across networks, changes through platforms and AI systems, and creates unequal conditions for public understanding, engagement, and response.

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Diffusion

How information, news, and public attention move across networks and time.

The Information Ecosystem of Social Media
2023 · Proceedings of the ACM on Human-Computer Interaction (CSCW)Paper

Shifting Online Mental Health Conversations Around Celebrity Suicides
2026 · Information, Communication & SocietyPaper

Media Logic and Values Shaping News Engagement
2024 · New Media & SocietyPaper

Engaging Marginalized Population with Government Information
2024 · International Journal of Strategic CommunicationPaper

Distortion

How platforms, algorithms, AI systems, and social processes transform what becomes visible, credible, or misleading.

LLM’s Capability in Emulating Human Experts
2025 · Journal of Medical Internet ResearchPaper

Rage Bait vs. Information Bait in News Headlines
2025 · Digital JournalismPaper

Can AI Be a Moral Victim?
2026 · Proceedings of the CHI ConferencePaper

Fingerprints of Conspiracy Theories
2024 · Journal of Online Trust & SafetyPaper

Disparity

How communication systems create unequal capacities to know, respond, and act.

AI’s Varying Accuracy in Detecting Public Health Sentiments
2025 · Social Science & MedicinePaper

Algorithmic Gender Bias
2024 · Behaviour & Information TechnologyPaper

Racial Identities and Questioning Artificial Intelligence
2024 · International Journal of CommunicationPaper

Mechanism of a Public Health Intervention Targeting African Americans
2025 · Journal of Racial and Ethnic Health DisparitiesPaper