Research Areas
AI and Digital Media
A prominent area of faculty expertise is in big data, artificial intelligence and computational communication where algorithmic methods are used to generate patterns and draw inferences from complex datasets.
Faculty
Fu Xiaoyi
Lecturer, Department of Journalism
Lan Liang
Senior Lecturer, Department of Interactive Media
Li Yupeng
Assistant Professor, Department of Interactive Media
Paolo Mengoni
Lecturer, Department of Interactive Media
Ng Yu-leung
Research Assistant Professor, Department of Interactive Media
Celine Song
Associate Professor & Director of AI and Media Research Lab
Zhang Xinzhi
Assistant Professor, Department of Interactive Media
Nick Zhang
Assistant Professor, Department of Journalism
Zhu Yuner
Research Assistant Professor, Department of Interactive Media
Zhong Bu
Professor & Head of Department of Interactive Media
ZOU Sheng
Assistant Professor, Department of Journalism
Recent Publications
Ho, J. C. F., & Zhang, X. 2020. Strategies of Marketing a New Media Form to the Mass Market: A Text-Mining-Based Case Study of Virtual Reality Games. Journal of Open Innovation: Technology, Market, and Complexity. 6(1), 1. Full-text: https://www.mdpi.com/2199-8531/6/1/1
Ng, Y.-L. 2020. Uses and Gratifications of and Exposure to Nature 2.0 and Associated Interdependence with Nature and Pro-Environmental Behavior. Social Science Computer Review, 1–16. https://doi.org/10.1177/0894439320901490
Ng, Y.-L., Song, Y., Kwon, K. H., & Huang, Y. 2020. Toward an Integrative Model for Online Incivility Research: A Review and Synthesis of Empirical Studies on the Antecedents and Consequences of Uncivil Discussions Online. Telematics and Informatics, 47, 101323. https://doi.org/10.1016/j.tele.2019.101323
Zhang, X. & Zhong, Z.-J. 2020. Extending Media System Dependency Theory to Informational Media Use and Environmentalism: A Cross-National Study. Telematics & Informatics. Online first. doi: 10.1016/j.tele.2020.101378
Zhang, X. & Ho, J. C. F. 2020. Exploring the Fragmentation of the Representation of Data-Driven Journalism in the Twittersphere: A Network Analytics Approach. Social Science Computer Review. Online first. doi: 10.1177/0894439320905522
Ng, Y.-L., Ma, F., Ho, F., Ip, P., & Fu, K.W. 2019. Effectiveness of Virtual and Augmented Reality-Enhanced Exercise on Physical Activity, Psychological Outcomes, and Physical Performance: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Computers in Human Behavior, 99, 278-291. https://doi.org/10.1016/j.chb.2019.05.026
Ng, Y. L., Song, Y., Kwon, K. H., & Huang, Y. 2019. A Systematic Review and Meta-Synthesis of the Antecedents and Consequences of Online Incivility. Telematics and Informatics, 101323.
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.
Chen, L., Wang, X., & Peng, T-Q. 2018. Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets. Journal of Medical Internet Research, 20, e11515.
J. Xu, X. Fu, L. Tu, M. Luo, M. Xu, and N. Zheng. 2018. Personalized Top-N Influential Community Search Over Large Social Networks, in Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, Springer, 105–120.
X. Fu, C. Zhang, H. Lu, and J. Xu. 2018. Efficient Matching of Offers and Requests in Social-Aware Ridesharing, 2018 19th IEEE International Conference on Mobile Data Management (MDM), 197–206.
Zhang, X. 2018. Visualization, Technologies, or the Public? Exploring the Articulation of Data-Driven Journalism in the Twittersphere. Digital Journalism. 6(6), 737-758. doi: 10.1080/21670811.2017.1340094
Song, Y. & Zhang, Y. 2017. What Can Software Tell Us about Media Coverage and Public Opinion? An Analysis of Political News Posts and Audience Comments on Facebook by Computerized Method (Chapter 18). In Ciampaglia, G. L., Mashhadi, A. J., & Yasseri, T. (eds.), Social Informatics 2017, Lecture Notes in Computer Science, 10540, 230–241.