*Click on paper title to access paper pdf*
Priniski, J.H., Solanki, P., & Horne, Z. (2022). A Bayesian-decision theoretic framework for studying motivated reasoning.
PsyArXiv.
Priniski, J. H., & Holyoak, K.J. (2022). A Darkening Spring: How Preexisting Distrust Shaped COVID-19 Skepticism. PLOS One,17(1).
Priniski, J.H., McClay, M., \& Holyoak, K.J. (2021).
Rise of QAnon: A Mental Model of Good and Evil Stews in an Echochamber. In T. Fitch, C. Lamm, H. Leder, & Tebmar-Raible (Eds.)
Proceedings of the 43rd Annual Conference of the Cognitive Science Society}. Austin, TX: Cognitive Science Society. [Related talk I gave on conspiracy thinking and hypercoherence theory.]
Priniski, J.H. & Horne, Z. (2019). Crowdsourcing effective educational interventions. In A.K. Goel, & C. Seifert C. Freska (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
Priniski, J.H. & Horne, Z. (2018). Attitude Change on Reddit's Change My View. In T.T. Rogers, M. Rau, X. Zhu, & C. W. Kalish (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 2276-2281). Austin, TX: Cognitive Science Society. [website]
Priniski, J.H., Verma, I., Morstatter, F., Lu H., & Holyoak, K.J. Mapping causal systems in large language models. Manuscript in prep for 2023 proceedings of Cognitive Science Society, available upon request.
Priniski, J.H., Verma, I., Shi Z., Morstatter, F., Lu H., & Holyoak, K.J. Mining causal belief systems with large language models. Manuscript in prep for 2023 proceedings of ICWSM, available upon request.
Full publication list on CV