Opening up our
Publications
The Cognitive Media Lab publishes across the fields of cognitive science, human-computer interaction, and public health. Recent topics include online political mobilization and detecting misinformation using crowdsourcing
2024
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]
Haupt, M. R.*, Yang, L.*, Purnat, T., & Mackey, T. (2024). Evaluating the Influence of Role-Playing Prompts on ChatGPT’s Misinformation Detection Accuracy: Quantitative Study. JMIR Infodemiology, 4(1), e60678. *= Co-first authors [Link]
Kaufman, R. A., Broukhim, A., Haupt, M. (in revision). WARNING This Contains Misinformation: The Effect of Cognitive Factors, Beliefs, and Personality on Misinformation Warning Tag Attitudes. [Preprint Link]
2023
Haupt, M. R., Chiu, M., Chang, J., Li, Z., Cuomo, R., & Mackey, T. K. (2023). Detecting nuance in conspiracy discourse: Advancing methods in infodemiology and communication science with machine learning and qualitative content coding. Plos one, 18(12), e0295414. [Link]
Larsen, M. Z., Haupt, M. R., McMann, T., Cuomo, R. E., & Mackey, T. K. (2023). The Influence of News Consumption Habits and Dispositional Traits on Trust in Medical Scientists. International Journal of Environmental Research and Public Health, 20(10), 5842. [Link]
2022
Kaufman, R. A.*, Haupt, M. R.*, & Dow, S. (2022). Who’s in the Crowd Matters: Cognitive Factors and Beliefs Predict Misinformation Assessment Accuracy. The 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing *= Co-first author [Link]
Haupt, M. R., Weiss, S. M., Chiu, M., Cuomo, R., Chein, J. M., & Mackey, T. (2022). Psychological and situational profiles of social distance compliance during COVID-19. Journal of Communication in Healthcare, 15(1), 44-53. [Link]
2021
Coulson, S., & Haupt, M. R. (2021). Frame Semantics Variation. Applications of Cognitive Linguistics, 81. [Link]
Haupt, M. R., Li, J., & Mackey, T. K. (2021). Identifying and characterizing scientific authority-related misinformation discourse about hydroxychloroquine on twitter using unsupervised machine learning. Big Data & Society, 8(1) [Link]
Haupt, M. R., Jinich-Diamant, A., Li, J., Nali, M., & Mackey, T. K. (2021). Characterizing Twitter User Topics and Communication Network Dynamics of the “Liberate” Movement during COVID-19 using Unsupervised Machine Learning and Social Network Analysis. Online Social Networks and Media, 21, 100114. [Link]