Latest Publications
2024
Xue, H., Zhang, J., Shen, C., & Wojcieszak, M. (2024). The majority of fact-checking labels in the United States are intense and this decreases engagement intention. Human Communication Research, hqae007. https://doi.org/10.1093/hcr/hqae007
Melnikow, J., Padovani, A., Zhang, J., Miller, M., Gosdin, M., Loureiro, S., & Daniels, B. (2024). Patient concerns and physician strategies for addressing COVID-19 vaccine hesitancy. Vaccine, 42(14), 3300-3306. https://doi.org/10.1016/j.vaccine.2024.04.025
Liang, K. H., Shi, W., Oh, Y. J., Wang, H. C., Zhang, J., & Yu, Z. (2024). Dialoging resonance in human-chatbot conversation: how users perceive and reciprocate recommendation chatbot’s self-disclosure strategy. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), 1-28. https://doi.org/10.1145/3653691
Dang, J. H., Gori, A., Rios, L., Rolon, A. M., Zhang, J., & Chen Jr, M. S. (2024). “You don’t know if it’s the truth or a lie”: exploring human papillomavirus (HPV) vaccine hesitancy among communities with low HPV vaccine uptake in Northern California. Vaccines, 12(4), 372. https://doi.org/10.3390/vaccines12040372
Xue, H., Liao, W., & Zhang, J. (2024). Interaction dynamics of social support expressions predict future support-seeking behaviors in online support groups. Computers in Human Behavior, 156, 108224. https://doi.org/10.1016/j.chb.2024.108224
2023
Centola, D., Becker, J., Zhang, J., Aysola, J., Guilbeault, D., & Khoong, E. (2023). Experimental evidence for structured information-sharing networks reducing medical errors. The Proceedings of the National Academy of Sciences, 120 (31), e2108290120. https://doi.org/10.1073/pnas.2108290120
Malloch, Y. Z., Zhang, J., & Qian, S. (2023). Effects of social comparison direction, comparison distance, and message framing on health behavioral intention in online support groups. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 17(3), Article 10. https://doi.org/10.5817/CP2023-3-10
Liao, W., Oh, Y. J., Feng, B., & Zhang, J. (2023). Understanding the influence discrepancy between human and artificial agent in advice interactions: the role of stereotypical perception of agency. Communication Research. 50 (5), 633-664. https://doi.org/10.1177/00936502221138427
Liao, W., Oh, Y. J., Zhang, J., & Feng, B. (2023). Conversational dynamics of joint attention and shared emotion predict outcomes in interpersonal influence situations: an interaction ritual perspective. Journal of Communication. 50(5), 633-664. https://doi.org/10.1093/joc/jqad003
Chen, A., Chen, K., Zhang, J., Meng, J., & Shen, C. (2023). When national identity meets conspiracies: the contagion of national identity language in public engagement and discourse about COVID-19 conspiracy theories. Journal of Computer-Mediated Communication, 28(1), zmac034. https://doi.org/10.1093/jcmc/zmac034
Qian, S., Shen, C., & Zhang, J. (2023). Fighting cheapfakes: using a digital media literacy intervention to motivate reverse search of out-of-context visual misinformation. Journal of Computer-Mediated Communication, 28(1), zmac024. https://doi.org/10.1093/jcmc/zmac024
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Latest Presentations
International Communication Association 2024 Conference. Gold Coast, Australia, June, 2024.
| June 21, 2024 | Effects of refuting vaccine misinformation on Twitter: a field experiment (Oral presentation). Online vaccination disclosures throughout the COVID-19 vaccine rollout (Oral presentation). |
International Communication Association 2023 Conference. Toronto, Canada, May, 2023.
May 25-29, 2023
| Xue, H., & Zhang, J. Go viral or neutral? The tension between journalistic objectivity and the dissemination of fact-checking messages on social media (Oral presentation). Meng, J., Qin, J., Chen, A., Shen, C., Chen, K., & Zhang, J. Temporal collective legitimacy of support seeking and received social support on social media during a public health crisis (Poster presentation). Top Faculty Poster Award! Xue, H., Yegiyan, N., & Zhang, J. False vs inaccurate: effects of fact-checking label intensity on motivational reactivity, memory, and attitudes towards the fact checked messages (Oral presentation). |
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Invited Talks
"AI for Persuasion: Navigating the Opportunities and Risks," Communication Science Futures, Michigan State University, May 30, 2024.
"Conversation Series": Artificial Intelligence: Possibilities for Health Care and Health Communication, Health Communication Division, International Communication Association, April 22, 2024.
"AI for Persuasion and Health Promotion: Potentials and Challenges," Ohio State University School of Communication's inaugural computational communication research mini-conference, Ohio State University, April 12, 2024.
“Artificial Intelligence-Driven Communication for Persuasion and Behavior Change” Department of Life Sciences Communication, University of Wisconsin Madison, April 12, 2023.
“Artificial Intelligence-Driven Communication for Persuasion and Behavior Change” Department of Communication, Seoul National University (Zoom talk), August 1, 2022.
“Advantages, Challenges, and Opportunities of Asynchronously Delivered Telehealth” UConn Center for mHealth & Social Media 6th Annual (Virtual) Conference, University of Connecticut, May 20, 2022.
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