AI as a social phenomenon. AI as a research method. Theory as the anchor.
- AI-mediated communication
- LLM-assisted analysis
- Computational text analysis
- Digital publics & large-scale data
RESEARCH
COLLECTIVE
Public Relations
at the Intersections.
Public Relations rarely operates within a single boundary.
It intersects with technology, institutions, organizations, culture, and society. The X in P-R-X marks those crossings — where established theory meets emerging environments, and where new questions become possible.
Our work is organized around substantive intersections — not fashionable methods. We place theory at the center and use computational, AI-assisted, comparative, survey, experimental, and other methods when they fit the research question.
AI as a social phenomenon. AI as a research method. Theory as the anchor.
How governments, policy institutions, experts, media, and publics communicate around consequential issues.
Organizations, employees, consumers, fans, and publics in corporate and cultural worlds.
NOT “AI FOR AI'S SAKE.”
Technology expands what theory can observe and test. It does not replace theory. We choose methods because they fit the question — not because they are new.
P-R-X brings together researchers with different disciplinary, methodological, professional, and cultural backgrounds. Those differences are part of our research design.
Research interests include theory and methodology in Public Relations, digital publics and artificial intelligence, and fandoms and publics. Her work connects theoretically grounded Public Relations scholarship with computational and AI-assisted methods across organizational, technological, and cultural contexts.
Graduate Researchers. Our members pursue individual research identities while collaborating across P-R-X projects in technology, organizations, public institutions, culture, and global communication.
Research interests
Research interests
Research interests
Research interests
Research interests
Research interests
Research interests
Research interests
Ideas, models, manuscripts, and results get focused critique.
LLM validation, R/Python, SEM, experiment, survey design, writing.
Stage · change · obstacle · next action · owner.
What we learned. What we produced. What comes next.
Selected recent work reflecting P-R-X’s theory-driven, computational, and global research agenda.
Lee, H., Seo, S., Park, S., Tam, L., Kim, S., & Jang, Y. (2026). Theory-driven LLM-assisted analysis in crisis communication: A case study of the self-oriented model of digital publics. Public Relations Review, 52(3), 102709.
Seo, S., Yoo, S., Lee, H., Jang, Y., Park, J. H., & Kim, J.-N. (2025). A sentence-level visualization of attention in large language models. Proceedings of NAACL 2025: System Demonstrations, 313–320.
Yoo, S., Seo, S., Yoon, C., Lee, H., Kim, J.-N., Kim, C., Jang, Y., & Fujiwara, T. (2025). OPRA-Vis: Visual analytics system to assist organization-public relationship assessment with large language models. Preprint.
Chon, M. G., Tam, L., Lee, H., & Kim, J.-N. (2023). Situational theory of problem solving (STOPS): A foundational theory of publics and its behavioral nature in problem solving. In Public Relations Theory III: In the Age of Publics (pp. 58–76). Routledge.
For inquiries about graduate study, research collaboration, or public and industry partnerships, please contact the Faculty Director.