Hunter Priniski, PhD
Postdoctoral Fellow, UCLA
The early internet promised to connect the world. While humans are more psychologically, socially, and digitally connected than ever before, we sense our communications and social ties fragmenting. Why does the promise of frictionless technology increase the friction between minds, groups, and narratives? I aim to answer this question through experimental research, community narrative interventions, and local-first AI development.
I apply my training in experimental cognitive psychology and data science to research how human-AI groups express narrative agency. Narrative agency is how groups of individuals use narratives and communicative technologies to align their thinking and behaviors to affect change in the world. Specifically, I run experiments on networked groups of humans, AI agents, and hybrid combinations to understand how narrative agency is expressed through locally-rational social decision processes, language, and causal reasoning. Agent and network-level interventions allow me to test how cognitive processes interact with a group's network structure to affect which narrative content groups align on.
To sharpen the cognitive representations I study, I apply and refine AI language embedding methods to computationally align the narrative content of human and AI communications. I translate these techniques and findings into practice by creating ephemeral narrative installations that establish common ground by visualizing the alignment between diverse personal narratives.
Below are selected research projects highlighting my data science methods, experiments, and theoretical work. This Python notebook on measuring narrative alignment demonstrates the core methodology. Visit the Research Portfolio for additional themes. Full publications on Google Scholar. Reach out: priniski@ucla.edu
Research Highlights
How shared narratives emerge in decentralized online networks — network topology and narrative complexity jointly determine whether groups converge or fragment.
Interdisciplinary research on religion as a system of narrative, belief, and community building — applying data science, urban design, and cognitive psychology.
Data mined from Reddit's Change My View, repurposed into persuasive educational interventions tested on thousands of Americans, demonstrating belief change at scale.
Selected Publications
- Priniski, J.H., et al. (2026). Network structure shapes consensus dynamics through individual decisions. Proceedings of the National Academy of Sciences U.S.A. PNAS
- Priniski, J.H., et al. (2025). Effect-prompting shifts narrative framing of network interactions. Proceedings of the Cognitive Science Society. PDF
- Priniski, J.H., et al. (2024). Online network topology shapes personal narratives and hashtag generation. Proceedings of the Cognitive Science Society. eScholarship
- Priniski, J.H., Verma, I., & Morstatter, F. (2023). Pipeline for modeling causal beliefs from natural language. ACL. ACL
- Priniski, J.H., & Holyoak, K.J. (2022). A darkening spring: How preexisting distrust shaped COVID-19 skepticism. PLOS ONE. PLOS ONE
- Priniski, J.H., McClay, M., & Holyoak, K.J. (2021). Rise of QAnon: A mental model of good versus evil stews in an echo chamber. Proceedings of the Cognitive Science Society. eScholarship