ZHANG, Jingwen

ZHANG, Jingwen

Adjunct Associate Professor

BA
Zhejiang University

MA
Clemson University, University of Pennsylvania

PhD
University of Pennsylvania

Research Interests

  • Persuasive technologies and effects
  • Social networks and health
  • Social media and health communication
  • Artificial intelligence and health communication

 

 Teaching Interests

  • Persuasive Technologies
  • Persuasion Theories
  • Health Communication
  • Human-AI Interactions

 

Advice to students

Work hard, embrace challenges, and never give up.

 

Awards

  • Lingnan Award for Excellence in Health Informatics, 2024
  • Everett M. Rogers Award, Public Health Education and Health Promotion Section, American Public Health Association, 2023
  • The Ayman El-Monhandes Young Professional Public Health Innovation Award, American Public Health Association, 2021

 

Publication :

Research on AI-human communication and chatbot:

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. doi: 10.1145/3653691

Zeng, Y., Lin, H., Zhang, J., Yang, D., Jia, R., & Shi, W. (2024). How johnny can persuade llms to jailbreak them: Rethinking persuasion to challenge ai safety by humanizing llms. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14322–14350, Bangkok, Thailand. Association for Computational Linguistics. Available: https://aclanthology.org/2024.acl-long.773.pdf

Zhang, J., Oh, Y. J., Lange, P., Yu, Z., & Fukuoka, Y. (2020). Artificial intelligence chatbot behavior change model for designing artificial intelligence chatbots to promote physical activity and a healthy diet. Journal of Medical Internet Research, 22(9), e22845. doi: 10.2196/22845

Oh, Y. J., Zhang, J., Fang, M. L., & Fukuoka, Y. (2021). A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss. International Journal of Behavioral Nutrition and Physical Activity, 18(1), 1-25. doi: 10.1186/s12966-021-01224-6

Liao, W., Zhang, J., Oh, Y.J., Palomares, N. (2021). Linguistic accommodation enhances compliance to charity donate: the role of interpersonal communication processes in mediated compliance-gaining conversations. Journal of Computer-Mediated Communication,173-191. doi:10.1093/jcmc/zmab001

Shi, W., Wang, X., Oh, Y., Zhang, J., Sahay, S., & Yu, Z. (2020). Effects of persuasive dialogues: testing bot identity and strategies of inquiry. In CHI Conference on Human Factors in Computing Systems (CHI ’20), April 25–30, 2020, Honolulu, HI, USA. ACM, New York, NY, USA. Available: https://dl.acm.org/doi/fullHtml/10.1145/3313831.3376843

Research on social networks, social media, and health:

Qian, S., Chen, K., Meng, J., Shen, C., Chen, A., & Zhang, J. (2024). Fear in media headlines increases public risk perceptions but decreases preventive behaviors: a multi-country study during the COVID-19 pandemic. Journal of Health Communication, 1-11. doi: 10.1080/10810730.2024.2439468

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. doi: 10.1073/pnas.2108290120

Centola, D., Guilbeault, D., Sarkar, U., Khoong, E., & Zhang, J. (2021). The reduction of race and gender bias in clinical treatment recommendations using clinician peer networks in an experimental setting. Nature Communications, 12(2):6585. doi: 10.1038/s41467-021-26905-5

Zhang, J., Featherstone, J. D., Calabrese, C., & Wojcieszak, M. (2021). Effects of fact-checking social media vaccine misinformation on attitudes toward vaccines. Preventive Medicine, 145, 106408. doi: 10.1016/j.ypmed.2020.106408

Zhang, J., & Centola, D. (2019). Social networks and health: new developments in diffusion, online and offline. Annual Review of Sociology, 45, 91-109. doi:10.1146/annurev-soc-073117-041421

Research on misinformation and mitigation:

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. doi:10.1093/hcr/hqae007

Hoes, E., Aitken, B., Zhang, J., Gackowski, T., & Wojcieszak, M. (2024). Prominent misinformation interventions reduce misperceptions but increase scepticism. Nature Human Behaviour, 8, 1545–1553. doi:10.1038/s41562-024-01884-x

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. doi: 10.1093/jcmc/zmac024

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