Social media analytics, mobile media analytics, financial media analytics, darknet analytics, cryptocurrency, computational advertising, health informatics, etc.
Computational communication research employs computational methods such as user log analytics, text mining, online experiment, network analysis, and etc. to address both long-standing and emerging questions that bear either theoretical or applicational importance in media and communication. As the name suggests, it is an interdisciplinary approach across communication, computer science, data science, management science, physical science, engineering, and many neighboring social sciences. The following is a partial list of ongoing projects undertaken by members of the clusters with funding support from GRF, PPR, ITC, NSSFC, and other sources.
Peng, T. Q., & Zhu, J. J. H. (in press). Mobile phone use as sequential processes: From discrete behaviors to sessions of behaviors and trajectories of sessions. Journal of Computer-Mediated Communication.
Zhao, W. X., Hou, Y. P., Chen, J. H., Zhu, J. J. H., Yin, E. J., Su, H. T., & Wen, J. R. (2020). Learning semantic representations from directed social links to tag microblog users at scale. ACM Transactions on Information Systems, 38(2), 17. doi: 10.1145/3377550.
Huang, G., & Liang, H. (2020, March). I (dis)trust what you wrote: Uncovering the effects of textual features in information diagnosticity and adoption of online consumer reviews. Paper presented at the annual conference of the American Academy of Advertising, San Diego, CA, USA.
Hilbert, M., Barnett, G., Blumenstock, J., Contractor, N., Diesner, J., Frey, S., Gonzalez-Bailon, S., Lamberso, P. J., Pan, J., Peng, T. Q., Shen, C. C., Smaldino, P. E., Van Atteveldt, W., Waldherr, A., Zhang, J., & Zhu, J. J. H. (2019). Computational Communication Science| Computational Communication Science: A Methodological Catalyzer for a Maturing Discipline. International Journal of Communication, 13, 3912–3934.
Guan, L., Peng, T. Q., & Zhu, J. J. H. (2019). Who is tracking health on mobile devices: A behavioral logfile analysis in Hong Kong. Journal of Medical Internet Research. 7(5), 313679. doi: 10.2196/13679.
Peng, T. Q., Liang, H., & Zhu, J. J. H. (2019). Introducing computational methods for computational communication research in Asia-Pacific. Asian Journal of Communication, 29(3), 205-216. doi: 10.1080/01292986.2019.1602911.
Zhu, J. J. H., Guan, L., Zhou, Y. X., Shen, A. Q., & Lu, H. (2019). Applying user analytics to social media in China. Asian Journal of Communication, 29(3),291-306. doi: 10.1080/01292986.2019.1602916.
Wang, C. J., & Zhu, J. J. H. (2019). Jumping onto the bandwagon of collective gatekeepers: Testing the bandwagon effect of information diffusion on social news website. Telematics and Informatics, 41(8), 34-45. doi: 10.1016/j.tele.2019.03.001.
Zhan, X. X., Liu, C., Zhou, G., Zhang, Z. K., Sun, G. Q., Zhu, J. J. H., & Jin, Z. (2018). Coupling dynamics of epidemic spreading and information diffusion on complex networks. Applied Mathematics and Computation, 332, 437-448. doi: 10.1016/j.amc.2018.03.050.
Zhu, J. J. H., Chen, H. X., Peng, T. Q., Liu, X. F., & Dai, H. X. (2018). How to measure sessions of mobile phone use: Quantification, evaluation, and applications. Mobile Media and Communication, 6(2), 215-232. doi: 10.1177/2050157917748351.