Hunter Priniski, PhD


Postdoctoral Fellow, UCLA

I’m a data scientist and experimental psychologist studying how the internet, AI, and digital media shapes people's learning and social interactions. My research integrates psychology experiments on individuals and networked groups, computational models of human behavior, open-source software development, and large-scale analyses of social media to understand how psychological mechanisms and networked interactions give rise to shared understanding and group coordination. I apply my research to develop digital and physical interventions that foster shared narratives and actively advocate for technology and urban development that harnesses, rather than limits, our individual and collective agency.

Below are selected research projects highlighting my data science methods, experiments, and theoretical work. Click on a Project Card to access open data, analysis scripts, and high-level interpertations of research findings. For example, this Python notebook on measuring narrative alignment in experimentally controlled online social networks. Visit the Research Portfolio page for information about additional research themes. A full list of my academic publications is available on my Google Scholar. Please feel free to reach out via email at priniski@ucla.edu.

Research Highlights

Modeling Human Beliefs with AI

Project 1 thumbnail

AI software that extracts and visualizes user beliefs from natural language and social media, applied to tweets and personal narratives.

NLP Belief Modeling Data Viz

Narrative Interaction in Online Networks

Project 2 thumbnail

Social network experiments reveal how network structure and interaction media shape the emergence of shared narratives and language change.

Experiments LLM Agents NLP

Social Media Belief Dynamics

Project 4 thumbnail

Data science studies on political belief and narrative dynamics on social media using data mining, NLP, and network science.

Social Media Data Mining NLP
Selected Publications