Research
Research
Hannah's most recent work can be found on her C.V. and Google Scholar Profile.
Hannah welcomes inquiries about research collaborations, prospective graduate students, and speaking opportunities.
Select Publications
Overbye-Thompson, H., Hamilton, K. A. & Fisher, J.T. (in press). Understanding Human Detection of Algorithmic Bias Through Drift-Diffusion Modeling. Computers in Human Behavior
Overbye-Thompson, H., Rice, R.E. Understanding how users may work around algorithmic bias. AI & Society 41, 2385–2399 (2026). https://doi.org/10.1007/s00146-025-02498-1
Overbye-Thompson, H., Garcia, E. A., Zhang, X., & Wang, L. H. (2026). Understanding Perceptions of Algorithmic Bias Through the Risk Perception and Attitude Framework. International Journal of Human–Computer Interaction, 42(8), 5854–5873. https://doi.org/10.1080/10447318.2025.2546661
Overbye-Thompson, H., Hamilton, K. A. & Mastro, D. (2024). Reinvention Mediates Impacts of Skin Tone Bias in Algorithms: Implications for Technology Diffusion. Journal of Computer-Mediated Communication. Volume 29, Issue 5, September 2024, zmae016, https://doi.org/10.1093/jcmc/zmae016