Eng · 繁體 · 简体
Department of Media and Communication Center for Communication Research

Dr Yue (Nancy) DAI 代悅

BA (City University of Hong Kong); MA (The University of Hong Kong); PhD (Michigan State University)

Assistant Professor

Staff Photo

Contact Information

Office: M5092
Phone: +(852) 3442 5966
Fax: +(852) 3442 0228
Email: nancy.dai@cityu.edu.hk
Personal CV: Personal CV
Facebook LinkedIn Twitter Tumblr

Academic Profile

CityU Scholar
Google Scholar

Research Interests

  • Computer-mediated communication
  • Intergroup dynamics online
  • Mediated intergroup contact
  • Social influence and persuasion
  • Technology and misinformation correction
  • Chatbot and social support
My research examines person perception and social influence processes that take place in mediated environments or involve the use of communication technology. My current research areas include the following:

(1) Vicarious interaction (i.e., observing interactions) and intergroup dynamics in online social influence and attitude formation processes

(2) Mediated intergroup contact and the reduction of intergroup prejudice

(3) Technology and misinformation correction

(4) Human-chatbot interaction in social support context


  • COM2303 Video Production and Editing
  • GE3202 Citizen Journalism and Civil Society
  • COM5104 Research Methods for Communication and New Media
  • COM4307 Video News Production and Anchoring

Peer-reviewed Journal Articles

  • Kim, J. W., Lee, J., & Dai, Y. (in press). Misinformation and the paradox of trust during the Covid-19 pandemic in the U.S.: Pathways to risk perception and compliance behaviors. Manuscript in press at Journal of Risk Research. [SSCI, Scopus]
  • 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 [SSCI, Scopus]
  • Dai, Y. & Shin, S. Y. (2022). How reading information on SNSs influences interpersonal and personal certainties about a target: The effects of information valence, information source, and positivism bias. Communication Studies. Advanced online publication. https://doi.org/10.1080/10510974.2022.2118341 [SSCI, Scopus]
  • 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 [SSCI, Scopus]
  • 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 [SSCI, Scopus]
  • 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 [SSCI]
  • Dai, Y. , Kim, J. W., & Jia, W. (2022). Health pandemic in the era of (mis)information: Examining the utility of using victim narrative and social endorsement of user-generated content to reduce panic buying in the U.S. Journal of Applied Communication Research. Advanced online publication. https://doi.org/10.1080/00909882.2022.2043557 [SSCI, Scopus]
  • Shin, S. Y., & Dai, Y. (2022). An online seller’s dilemma: How a user’s claim about comment deletion affects product evaluation and purchase intention via seller disliking. International Journal of Communication, 16 (2022), 1371–1394. [SSCI]
  • 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 [SSCI, Scopus]
  • 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 [SSCI]
  • Dai, Y., Yu, W., & Shen, F. (2021). The effects of message order and debiasing information in misinformation correction. International Journal of Communication, 15 (2021), 1039-1059. https://ijoc.org/index.php/ijoc/article/view/15364 [SSCI]
  • 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 [SSCI, Scopus]
  • Dai, Y., Van Der Heide, B., Mason, A., Prchal, B., & Beyea, D. (2019). The wisdom of the crowd vs. the wisdom in the crowd: Testing the effects of aggregate user representation, valence, and argument strength on attitude formation in online reviews. International Journal of Communication, 13, 3488–3511. [SSCI]
  • 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 [SSCI, Scopus]
  • Dai, Y., Viken, G., Joo, E., & Bente, G. (2018). Risk assessment in ecommerce: How seller’s photos, reputation scores, and the stake of a transaction influence buyers’ purchase behavior and information processing. Computers in Human Behavior, 84, 342-351. https://doi-org.proxy2.cl.msu.edu/10.101 [SSCI, Scopus]
  • Shin, S. Y., Van Der Heide, B., Beyea, D., Dai, Y., & Prchal, B. (2017). Investigating moderating roles of goals, reviewer similarity, and self-disclosure on the effect of argument quality of online consumer review on attitude formation. Computers in Human Behavior, 76, 218-226. http://dx.doi.org/10.1016/j.chb.2017.07.024 [SSCI, Scopus]
  • Kashian, N., Jang, J.-W., Shin, S. Y., Dai, Y., Walther, J. B. (2017). Self-disclosure and liking in computer-mediated communication. Computers in Human Behavior, 71, 275–283. https://doi.org/10.1016/j.chb.2017.01.041 [SSCI, Scopus]
  • Dai, Y., Shin, S. Y., Kashian, N., Jang, J., & Walther, J. B. (2016). The influence of responses to self-disclosure on liking in computer-mediated communication. Journal of Language and Social Psychology, 35, 394–411. http://doi.org/10.1177/0261927X15602515 [SSCI]
  • Walther, J. B, Kashian, N., Jang, J.-W., Shin, S. Y., Dai, Y., Koutamanis, M. (2016). The effect of message persistence and discloser on liking in computer-mediated communication. Media Psychology, 21, 308-327. https://doi.org/10.1080/15213269.2016.1247718 [SSCI, Scopus]