2024

• • Shi, J., Kim, H. K., Salmon, C. T., Tandoc Jr, E. C., & Goh, Z. H. (2024). Cultural tightness-looseness and normative social influence in eight Asian countries: Associations of individual and collective norms with vaccination intentions. Social Science & Medicine, 340, 116431.
• • Chen, L., & Shi, J. (2024). Communication Technology and Environmental Communication: Challenges, Opportunities, and Emerging Agendas. Environmental Communication, 18(5), 519–524.
• • Li, Z., Shi, J., Zhao, Y., Zhang, B., & Zhong, B. (2024). Indirect media effects on the adoption of artificial intelligence: The Roles of Perceived and Actual Knowledge in the Influence of Presumed Media Influence Model. Journal of Broadcasting & Electronic Media, 1–20.
• • Xu, K., & Shi, J. (2024). Visioning a two-level human–machine communication framework: initiating conversations between explainable AI and communication. Communication Theory, qtae016.

2023

• • Shi, J., Li, Z., Chen, L., & Tang, H. (2023). Individual and collective actions against climate change among Chinese adults: The effects of risk, efficacy, and consideration of future consequences. Science Communication,45(2), 195–224.
• • 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, 49(3), 296–309.
• • Su, Y., & Shi, J. (2023). Extending the risk perception attitude framework to predict individuals' engagement in collective actions against cancer. Health Communication,38(1), 91–100.
• • Wang, X., Chen, L., Shi, J., & Tang, H. (2023). Who sets the agenda? The dynamic agenda setting of the wildlife issue on social media. Environmental Communication, 17(3), 245–262.
• • Goh, Z. H., Tandoc, E. C., Salmon, C. T., Kim, H. K., & Shi, J. (2023). Can press freedom enhance the effect of news exposure on COVID-19 health beliefs? A health belief model perspective. Health Communication, 38(10), 2158–2166.

2022

• • Shi, J., Chen, L., & Tsang, S. J. (2022). Integrating interpersonal communication into the influence of presumed media influence model: Understanding intentions to censor and correct COVID-19 misinformation on social media. Journal of Broadcasting & Electronic Media, 66(3), 464–483.
• • Shi, J., & Dai, Y. (2022). Promoting favorable attitudes toward seeking counselling among people with depressive symptomatology: A masspersonal communication approach. Health Communication, 37(2), 242–254.
• • 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.
• • Lee, E. W. J., & Shi, J. (2022). Examining the roles of fatalism, stigma, and risk perception on cancer information seeking and avoidance among Chinese adults in Hong Kong. Journal of Psychosocial Oncology, 40(4), 425–440.
• • Chan, K., Shi, J., Agante, L., Opree, S. J., & Rajasakran, T. (2022). Applying regulatory fit theory and cultural values orientation to predict effectiveness of public service advertising appeals. International Review on Public and Nonprofit Marketing, 19(1), 37–51.
• • Wang, X., Shi, J., & Lee, K. M. (2022). The digital divide and seeking health information on smartphones in Asia: Survey study of ten countries. Journal of Medical Internet Research, 24(1), e24086.

2021

• • Chu, T. H., Su, Y., Kong, H., Shi, J., & Wang, X. (2021). Online social support for intimate partner violence victims in China: Quantitative and automatic content analysis. Violence against Women, 27(3–4), 339–358.
• • Wang, X., Shi, J., & Kong, H. (2021). Online health information seeking: A review and meta-analysis. Health Communication, 36(10), 1163–1175.

2020

• • Shi, J., & Kim, H. K. (2020). Integrating risk perception attitude framework and the theory of planned behavior to predict mental health promotion behaviors among young adults. Health Communication, 35(5), 597–606.
• • Shi, J., Kim, H. K., Su, Y., & Kong, H. (2020). Mental health conditions in young Asian adults and motivation to seek counseling: A cross-country study. Asia Pacific Journal of Public Health, 32(6-7), 328–333.
• • Chu, T. H., Su, Y., Kong, H., Shi, J., & Wang, X. (2020). Online social support for intimate partner violence victims in China: Quantitative and automatic content analysis. Violence Against Women, 27(3-4), 339–358.

2019

• • Shi, J. (2019). Development of a multidimensional attitude scale for organ donation research: An example from China. Health Communication, 34(6), 598–606.
• • Shi, J., Chen, L., Su, Y., & Chen, M. (2019). Offspring caregivers for Chinese women with breast cancer: Their social support requests and provision on social media. Telemedicine and e-Health, 25(8), 748–755.
• • Shi, J., Wang, X. Peng, T-Q., & Chen, L. (2019). Cancer prevention messages on Chinese social media: A content analysis grounded in the extended parallel process model and attribution theory. International Journal of Communication, 13, 1959–1976.
• • Chen, L. & Shi, J. (2019). Reducing harm from media: A meta-analysis of parental mediation. Journalism & Mass Communication Quarterly, 96(1), 173–193.
• • Chen, L., Shi, J., Guo, Y., Wang, P., & Li, Y. (2019). Agenda-setting on traditional versus social media: An analysis of haze-related content grounded in the extended parallel process model. Internet Research, 29(4), 688–703.
• • Chen, L., Guo, Y., & Shi, J. (2019). Social support seeking on social media among Chinese homosexual men living with HIV/AIDS: The role of perceived threat. Telemedicine and e-Health, 25(7), 655–659.
• • Wang, X., Chen, L., Shi, J., & Peng, T-Q (2019). What makes cancer information viral on social media? Computers in Human Behavior, 93, 149–156.

Before 2019

• • Shi, J., & Salmon, C. T. (2018). Identifying opinion leaders to promote organ donation on social media: Network study. Journal of Medical Internet Research, 20(1), e7.
• • Shi, J., Poorisat, T., & Salmon, C. T. (2018). The use of social networking sites (SNSs) in health communication campaigns: Review and recommendations. Health Communication, 33(1), 49–56.
• • Chib, A., & Shi, J. (2018). Structured imaginings: Social media as a tool to reduce intergroup prejudice. Intercultural Communication Studies, 27(2), 17–43.
• • Shi, J., Wang, X., Peng, T-Q., & Chen, L. (2017). Understanding interactions in virtual HIV communities: A social network analysis approach. AIDS Care, 29(2), 239–243.
• • Lapinski, M., Zhuang, J., Koh, H., & Shi, J. (2017). Descriptive norms and involvement in health and environmental behaviors. Communication Research, 44(3), 367–387.
• • Shi, J., & Smith, S. W. (2016). The effects of fear appeal message repetition on perceived threat, perceived efficacy, and behavioral intention in the extended parallel process model. Health Communication, 31(3), 275–286.
• • Wang, X., Shi, J., Chen, L., & Peng, T-Q. (2016). An examination of users’ influence in online HIV/AIDS communities. Cyberpsychology, Behavior, and Social Networking, 19(5), 314–320.
• • Chen, L., & Shi, J. (2015). Social support exchanges in a social media community for people living with HIV/AIDS in China. AIDS Care, 27(6), 693–696.
• • Shi, J., & Chen, L. (2014). Social support on Weibo for people living with HIV/AIDS in China: A quantitative content analysis. Chinese Journal of Communication, 7(3), 285–298.

Invited Talks

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  Social media and health communication campaigns. School of Journalism and Communication, Shandong University (May 2023)

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  How passive users benefit from health promotion on social media. School of Journalism and Communication, Shanghai International Studies University (Nov 2022)

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  How passive users benefit from online social support communities: Findings from two experimental studies. Tsinghua Health Communication Forum, Center for Global Development and Health Communication, Tsinghua University (March 2022)

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  The role of social media in health communication campaigns. Wee Kim Wee School of Communication and Information, Nanyang Technological University (May 2021)

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  Social media and health communication. School of Journalism and Communication, Shanghai International Studies University (June 2020)

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  The use of social networking sites (SNSs) in health communication campaigns: Review and recommendations. The 2019 Annual Meeting of Computational Communication Research Association of the Chinese Association for Journalism and Mass Communication (December 2019)

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  Health communication: What communication scholars can do for health and wellbeing? Talent 100 Academic Sharing, Hong Kong Baptist University (May 2019)