Prof. Yue (Nancy) DAI 代悅

My research examines impression formation and social influence as they unfold through communication technologies, with a particular focus on how communication technology shapes how individuals process information, form impressions of both human and AI communicators, negotiate group-based identities, and develop understandings of public issues in digital environments. Rather than centering on any single platform or device, my work seeks to generate theoretical insights that not only apply across evolving technologies but also illuminate enduring patterns of human communication. My current research areas include the following:

(1) AI for companionship and social support
(2) Intergroup dynamics in information processing and prejudice reduction
(3) Technology and misinformation correction

• COM5101 Communication Fundamentals
• COM2303 Video Production and Editing
• GE3202 Citizen Journalism and Civil Society
• COM5104 Research Methods for Communication and New Media

For a full publication list, please visit my Google Scholar profile.

• Dai, Y., Fu, L., & Jia, W. (2026). Do profile photos enhance vicarious intergroup contact? Testing theoretical perspectives from social identity, the social identity model of deindividuation effects (SIDE), and social presence. Communication Research. Advance online publication. https://doi.org/10.1177/00936502261466759
  
• Jia, W., & Dai, Y. (2026). When self-expression via information sharing affects health behavior intentions: The role of anticipated feedback and the audience’s relevance to the issue. Health Communication. Advance online publication. https://doi.org/10.1080/10410236.2026.2662342
• Fu, L., Dai, Y., & Jia, W. (2026). Examining ingroup persuasion and expectancy violation as competing mechanisms for biased information processing in social media. Journal of Broadcasting & Electronic Media, 70(2), 199–223. https://doi.org/10.1080/08838151.2025.2605123
• Dai, Y., Fu, L., & Jia, W. (2025). Other-Interest and compassion as mechanisms of the warranting principle: Advancing warranting theory in the context of sponsored posts. Telematics and Informatics, 101, 102292. https://doi.org/10.1016/j.tele.2025.102292
  
• Rheu, M. (MJ), Dai, Y., Meng, J., & Peng, W. (2024). When a chatbot disappoints you: Expectancy violation in human-chatbot interaction in a social support context. Communication Research. Advanced online publication. https://doi.org/10.1177/00936502231221669
• Dai, Y., Lee, J., & Kim, J. W. (2023). AI vs. human voices: How delivery source and narrative format influence the effectiveness of persuasion messages. International Journal of Human–Computer Interaction. Advanced online publication. https://doi.org/10.1080/10447318.2023.2288734
  
• Shi, J. & Dai, Y. (2023). Audience–campaign planner interaction in social media communication campaigns: How it influences intended campaign responses in the observing audience. Human Communication Research. Advanced online publication. https://doi.org/10.1093/hcr/hqad003
• Dai, Y., Huang, Y.-H. C., Jia, W., & Cai, Q. (2022). The paradoxical effects of institutional trust on risk perception and risk management in the Covid-19 pandemic: Evidence from three societies. Journal of Risk Research. Advanced online publication. https://doi.org/10.1080/13669877.2022.2108122
• Dai, Y., Jia, W., Fu, L., Sun, M., & Jiang, L. C. (2022). The effects of self-generated and other-generated eWOM in inoculating against misinformation. Telematics and Informatics , 101835. https://doi.org/10.1016/j.tele.2022.101835
  
• Dai. Y. & Shi, J. (2022). Vicarious interactions in online support communities: The roles of visual anonymity and social identification. Journal of Computer-Mediated Communication. 27 (3), zmac006. https://doi.org/10.1093/jcmc/zmac006
• Shi, J., & Dai, Y. (2022). Promoting favorable attitudes toward seeking counseling among people with depressive symptomatology: A masspersonal communication approach. Health Communication, 37(2), 242–254. https://doi.org/10.1080/10410236.2020.1834209
  
• Meng, J., & Dai, Y. (2021). Emotional support from AI chatbots: Should a supportive partner self-disclose or not? Journal of Computer-Mediated Communication, zmab005. https://doi.org/10.1093/jcmc/zmab005
  
• Shin, S. Y., Dai, Y. , Beyea, D., Prchal, B., Makki, T. W., Schlafhauser, K., & Van Der Heide, B. (2020). Curbing negativity: Influence of providing justifications about control over user-generated comments on social media. Communication Research, 47(6), 838–859. https://doi.org/10.1177/0093650218794853
  
• Dai, Y., & Walther, J. B. (2018). Vicariously experiencing parasocial intimacy with public figures through observations of interactions on social media. Human Communication Research, 44, 322–342. https://doi.org/10.1093/hcr/hqy003