Computational social scientist
I study how people and AI shape one another across networked public life.
My work follows social systems from networked public life, through AI-mediated practice, to emerging agent societies.
Research map
One question, across three forms of social interaction
How can we understand social behavior well enough to build more trustworthy online public spaces?
- Human ↔ Human
Networked public life
How do people organize, influence one another, and form beliefs in networked environments?
Platforms · influence · beliefs
- Human ↔ AI
AI-mediated practice
How does AI reshape human interpretation and judgment—and whose outcomes change?
Mediation · judgment · fairness
- AI ↔ AI
Agent societies
Which social dynamics emerge when AI agents coordinate, lead, and form norms?
Coordination · leadership · norms
Selected work
The same three interactions, in practice
Five studies follow the same movement—from human networks, through human–AI practice, to agent societies.
Human ↔ Human
Networked public life
Human ↔ AI
AI-mediated practice
- When AI Becomes Routine Traces how AI became ordinary—and increasingly invisible—infrastructure across a decade of Korean Go commentary.
- Same Symptoms, Different Severity? Tests whether identical symptoms receive different LLM severity judgments under gendered cues, and develops a symptom-grounded mitigation.
AI ↔ AI
Agent societies
About
Large-scale evidence, social questions.
I am an Associate Professor at Indiana University Bloomington. I use large-scale behavioral data, network analysis, natural language processing, and experiments to study how people behave, interact, and organize online, and how those dynamics change when AI enters the system.
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