Online Behavior & UX Research

This area of my research examines how individual differences of online users (e.g., psychological traits, demographics) and features of virtual environments (e.g., word count of posts, anonymity of users) influence behavior on social media.
In one line of work, I investigate drug transactions on social media, using conjoint analysis to identify features of posts (e.g., visual display of drugs, use of emojis) that signal safety to potential buyers. In parallel research on misinformation propagation, I use artificial newsfeed experiments to examine predictors of different social media behaviors (e.g., liking, sharing).
An aim of my work is to inform the design of online platforms that account for the complex interplay of individual characteristics and virtual environments .
Related Publications
Kaufman, R., Broukhim, A., & Haupt, M. (2025). WARNING This Contains Misinformation: The Effect of Cognitive Factors, Beliefs, and Personality on Misinformation Warning Tag Attitudes. Proceedings of the ACM on Human-Computer Interaction, 9(7), 1-32. [LINK] [FILE]
Haupt, M. R., Cuomo, R., Mackey, T. K., & Coulson, S. (2024). The role of narcissism and motivated reasoning on misinformation propagation. Frontiers in Communication, 9. [LINK] [FILE]
Haupt, M. R., Cuomo, R., Cui, M., & Mackey, T. K. (2024). Is This Safe? Examining Safety Assessments of Illicit Drug Purchasing on Social Media Using Conjoint Analysis. Substance Use & Misuse, 0(0), 1–13. [LINK] [FILE]