Haoning Xue
Dr. Xue leverages computational and experimental approaches to understand how people seek, process, and evaluate information in the emerging technology-mediated environments.
She is an Assistant Professor in the Department of Communication at the University of Utah. Dr. Xue uses computational and experimental research focuses on how people seek, process, and evaluate information in the emerging technology-mediated environments. Her work has been published in leading communication journals, and she has received the ICA/NCA Health Communication Division Dissertation Award and multiple best paper awards. Dr. Xue’s research has been supported by the National Science Foundation, Google Cloud, and multiple internal funding programs.
Publications
Journal Articles
Leveraging artificial intelligence chatbots to employ bypassing and correction strategies for addressing misinformation about contraceptive use
Published in Science Communication, 2026
We examined whether bypassing and combined (correction with bypassing) strategies delivered through artificial intelligence (AI) chatbots can address contraceptive misinformation. In Study 1, we found through observational reddit data that bypassing, correction, and combined strategies were present in online discussions and were more engaging than other responses. In Study 2, an experiment employing AI chatbots found that the combined strategy improved recommendation intentions compared with the control conditions, while also reducing beliefs in misinformation. The combined strategy AI chatbot was viewed as warmer and more competent than the correction, invoking less reactance and increasing recommendation intentions. Practical and theoretical implications are discussed.
Recommended citation: Calabrese, C., Xue, H., Zhang, X., & Oh, Y. J. (2026). Leveraging Artificial Intelligence Chatbots to Employ Bypassing and Correction Strategies for Addressing Misinformation About Contraceptive Use. Science Communication. https://doi.org/10.1177/10755470261418533