PEER-REVIEWED JOURNAL ARTICLES

Li, H., & Zhang, R. (2024). Finding Love in Algorithms: Deciphering the Emotional Contexts of Close Encounters with AI Chatbots. Journal of Computer-Mediated Communication. [preprint]

Luo, X., & Zhang, R. (2024). Decoding the gendered design and (dis) affordances of face-editing technologies in China. International Journal of Human-Computer Studies, 181, 103149. [link]

Liu, Z., Li, H., Chen, A., Zhang, R., & Lee, Y. C. (2024). Understanding Public Perceptions of AI Conversational Agents: A Cross-Cultural Analysis. Proceedings of the 2024 ACM CHI Conference on Human Factors in Computing Systems. [link]

Tang, L. K., Yobas, P., Wong, D. N. X., Pikkarainen, M., Zhang, R., Ho, D., & He, H. G. (2024). Personal and work‐related factors associated with post‐traumatic growth in nurses: A mixed studies systematic review. Journal of Nursing Scholarship. [link]

Li, H.#, Zhang, R.#, Lee, Y.C., Kraut, R., & Mohr, D. (2023). AI-based conversational agents for promoting mental health and well-being: A systematic review and meta-analysis. npj Digital Medicine. [link]

Zhu, Z., Liu, S., & Zhang, R. (2023). Examining the persuasive effects of health communication in short videos: A systematic review. Journal of Medical Internet Research, e48508. [link]

Li, L., Zhang, R., & Piper, A. M. (2023). Predictors of student engagement and perceived learning in emergency online education amidst COVID-19: A community of inquiry perspective. Computers in Human Behavior Reports, 12, 100326. [link]

Yue, Z., Zhang, R., & Xiao, J. (2023). Social media use, perceived social support, and well-being: Evidence from two waves of surveys peri- and post-COVID-19 lockdown. Journal of Social and Personal Relationships, 02654075231188185. [pdf]

Zhu, Z., Zhang, R., & Qin, Y. (2022). Toxicity and prosocial behaviors in massively multiplayer online games: The role of mutual dependence, power, and passion. Journal of Computer-Mediated Communication, 27(6), zmac017. [pdf]

Yue, Z., Zhang, R., & Xiao, J. (2022). Passive social media use and psychological well-being during the COVID-19 pandemic: The role of social comparison and emotion regulation. Computers in Human Behavior, 127. [link]

Yue, Z., Lee, D., Xiao, J.& Zhang, R. (2021). Social media use, psychological well-being and physical health during lockdown. Information, Communication & Society, 1-18. [pdf]

Zhang, R., & Fu, J. S. (2021). Linking network characteristics of online social networks to individual health: A systematic review of literature. Health Communication, 36 (12), 1549-1559. [pdf]

Dienlin, T., … Zhang, R., et al. (2021). An agenda for open science in communication. Journal of Communication, 71 (1), 1-26. [link]

Zhang, R., & Fu, J. S. (2020). Privacy management and self-disclosure on social network sites: The moderating effects of stress and gender. Journal of Computer-Mediated Communication, 25(3), 236-251. [link]

Ye, J., Zhang, R., Bannon, J. E., Wang, A. A., Walunas, T. L., Kho, A. N., & Soulakis, N. D. (2020). Identifying practice facilitation delays and barriers in primary care quality improvement. Journal of the American Board of Family Medicine, 33(5), 655-664. [link]

Zhang, R., Nicholas, J., Knapp, A. A., Graham, A. K., Gray, E., Kwasny, M. J., Reddy, M., & Mohr, D. C. (2019). Clinically meaningful use of mental health apps and its effects on depression: Mixed methods study. Journal of Medical Internet Research, 21(12), e15644. [link]

Zhang, R., Burgess, E. R., Reddy, M., Rothrock, N. E., Bhatt, S., Rasmussen, L. V., Butt, Z. A., & Starren, J. B.(2019). Provider perspectives on the integration of patient-reported outcomes in an electronic health record. Journal of the American Medical Informatics Association Open, 2(1), 73-80. [link]

Fu, J. S., & Zhang, R. (2019). NGOs’ HIV/AIDS discourse on social media and websites: Technology affordances and strategic communication across media platforms. International Journal of Communication, 13, 181–205. [link]

Zhang, R., Eschler, J., & Reddy, M. (2018). Online support groups for depression in China: culturally shaped interactions and motivations. Computer Supported Cooperative Work (CSCW), 27(3), 327–354. [link]

Wang, H., Zhang, R., & Wellman, B. (2018). Are older adults networked individuals? Insights from East Yorkers’ network structure, relational autonomy, and digital media use. Information, Communication & Society, 21(5), 681-696. [link]

Zhang, R. (2017). The stress-buffering effect of self-disclosure on Facebook: An examination of stressful life events, social support, and mental health among college students. Computers in Human Behavior, 75, 527–537. [link]

Leung, L., & Zhang, R. (2017). Mapping ICT use at home and telecommuting practices: A perspective from work/family border theory. Telematics and Informatics, 34(1), 385-396. [link]

Leung, L., & Zhang, R. (2016). Predicting tablet use: A study of gratifications-sought, leisure boredom, and multitasking. Telematics and Informatics, 33(2), 331-341. [link]

PEER-REVIEWED CONFERENCE PROCEEDINGS

Zhu, Z., Mitchell, A., & Zhang, R. (2022). Developing Intentional Relationships with Technologies: An Exploratory Study of Players’ Experiences with Built-in Interventions in Games. Proceedings of Designing Interactive Systems (DIS) 2022. [pdf]

Zhang, R., Ringland, K. E., Paan, M., Mohr, D., & Reddy, M. (2021). Designing for emotional well-being: Integrating persuasion and customization into mental health technologies. The 2021 ACM CHI Conference on Human Factors in Computing Systems. [pdf]

Zhang, R., Bazarova, N. N., & Reddy, M. (2021). Distress disclosure across social media platforms during the COVID-19 pandemic: Untangling the effects of platforms, affordances, and audiences. The 2021 ACM CHI Conference on Human Factors in Computing Systems. [pdf]

Kornfield, R., Zhang, R., Nicholas, J., Schueller, S. M., Cambo, S., Mohr, D. C., & Reddy, M. (2020). “Energy is a finite resource”: Designing technology to support individuals across fluctuating symptoms of depression. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-17). [pdf]

Lattie, E. G., Kornfield, R., Ringland, K. E., Zhang, R., Winquist, N., & Reddy, M. (2020). Designing mental health technologies that support the social ecosystem of college students. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-15). [pdf]

Burgess, E. R., Zhang, R., Feuston, J. L., Reddy, M. C., Ernala, S. K., De Choudhury, M., Schueller, S., Aguilera, A., & Czerwinski, M. (2020, April). Technology ecosystems: Rethinking resources for mental health. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Extended Abstracts (pp. 1-8).  

BOOK CHAPTERS

Quan‐Haase, A., Wellman, B. & Zhang, R. (2021). Digital inequality among older adults. In E. Hargittai. (Ed.), Handbook of Digital Inequality. Elgar Publishing.

Zhang, R., & Kornfield, R. (2020). Mobile phones for health interventions. In J. Van den Bulck et al. (Eds.), The international encyclopedia of media psychology. John Wiley & Sons, Inc. [link]

Quan-Haase, A., Zhang, R., Wellman, B. & Wang, H. (2019). How older adults network on and offline. In M. Graham & W. H. Dutton (Eds.), Society and the Internet: How networks of information and communication are changing our lives (2nd ed., pp. 96-108). Oxford University Press.

Quan‐Haase, A., Wang, H., Wellman, B. & Zhang, R. (2018). Weaving family connections on- and offline: the turn to networked individualism. In B. B. Neves, & C. Casmiro (Eds.), Connecting families? Information & communication technologies, generations, and the life course (pp. 59-79). Policy Press. [pdf]

Leung, L., & Zhang, R. (2017). Narcissism and social media use by children and adolescents. In K. S. Young (Eds.), Internet addiction in children and adolescents: Risk factors, treatment, and prevention (pp. 47-64). Rowman & Littlefield. [pdf]