Hai Liang PhD

Hai Liang PhD

Associate Professor @ CUHK

Computational social science

All publications

  1. Liang, H. (2024). Big data analytical methods. In M. M. Skoric & N. Pang (Eds.) Research Handbook on Social Media and Society. Edward Elgar. https://doi.org/10.4337/9781800377059.00027
  2. Zhang, Q., Liang, H., Peng, T. Q., & Zhu, J. J. H. (2024). The effect of affordance on deliberation when retweeting: From the perspective of expression effect. Computers in Human Behavior, 151, 108010. https://doi.org/10.1016/j.chb.2023.108010
  3. Liang, H., Ng, Y. M. M., & Tsang, N. L. T. (2023). Word embedding enrichment for dictionary construction: An example of incivility in Cantonese. Computational Communication Research, 5(1). https://doi.org/10.5117/CCR2023.1.10.LIAN
  4. Liang, H., & Lee, F. L. F. (2023). Opinion leadership in a leaderless movement: Discussion of the Anti-Extradition Bill Movement in the “LIHKG” web forum. Social Movement Studies, 22(5-6), 670-688. https://doi.org/10.1080/14742837.2021.1989294
  5. Zhang, W. J., Yi, J., & Liang, H. (2023). I cue you liking me: Causal and spillover effects of technological engagement bait. Computers in Human Behavior, 148, 107864. https://doi.org/10.1016/j.chb.2023.107864
  6. Guan, L., Liu, X. F., Sun, W., Liang, H., Zhu, J. J. H. (2022) Census of Twitter users: Scraping and describing the national network of South Korea. PLoS ONE, 17(11): e0277549. https://doi.org/10.1371/journal.pone.0277549
  7. Liang, H., & Lee, F. L. F. (2022). Thread popularity inequality as an indicator of organization through communication in a networked movement: An analysis of the LIHKG forum. Chinese Journal of Communication, 15(3), 332-354. https://doi.org/10.1080/17544750.2021.1922475
  8. Guan, L., Liang, H., & Zhu, J. J. H. (2022). Predicting reposting latency of news content in social media: A focus on issue attention, temporal usage pattern, and information redundancy. Computers in Human Behavior, 127, 107080. https://doi.org/10.1016/j.chb.2021.107080
  9. Liang, H. (2021). Decreasing social contagion effects in diffusion cascades: Modeling message spreading on social media. Telematics and Informatics, 62. https://doi.org/10.1016/j.tele.2021.101623
  10. Huang, G., & Liang, H. (2021). Uncovering the effects of textual features on trustworthiness of online consumer reviews: A computational-experimental approach. Journal of Business Research, 126, 1-11. https://doi.org/10.1016/j.jbusres.2020.12.052
  11. Peng, T. Q., Liang, H., & Zhu, J. J. H. (2019). Introducing computational social science for Asia-Pacific communication research. Asian Journal of Communication, 29(3), 205-216. https://doi.org/10.1080/01292986.2019.1602911
  12. Lee, F. L. F., Liang, H., & Tang, G. K. Y. (2019). Online incivility, cyberbalkanization, and the dynamics of opinion polarization during and after a mass protest event. International Journal of Communication, 13, 4940–4959. Retrieved from https://ijoc.org/index.php/ijoc/article/view/11666/2819
  13. Liang, H., & Fu, K. W. (2019). Network redundancy and information diffusion: The impacts of information redundancy, similarity, and tie strength. Communication Research, 46(2), 250-272. https://doi.org/10.1177/0093650216682900
  14. Liang, H. (2018). Broadcast versus viral spreading: The structure of diffusion cascades and selective sharing on social media. Journal of Communication, 68(3), 525–546. https://doi.org/10.1093/joc/jqy006
  15. Liang, H., & Shen, F. (2018). Birds of a schedule flock together: Social networks, peer influence, and digital activity cycles. Computers in Human Behavior, 82, 167-176. https://doi.org/10.1016/j.chb.2018.01.016
  16. Liang, H., Shen, F., & Fu, K. W. (2017). Privacy protection and self-disclosure across societies: A study of global Twitter users. New Media & Society, 19(9), 1476-1497. https://doi.org/10.1177/1461444816642210
  17. Liang, H., & Fu, K. W. (2017). Information similarity, overload, and redundancy: Unsubscribing information sources on Twitter. Journal of Computer-Mediated Communication, 22(1), 1-17. https://doi.org/10.1111/jcc4.12178
  18. Liang, H., & Zhu, J. J. H. (2017). Big data, collection of (social media, harvesting). In J. Matthes, C. S. Davis, & R. F. Potter (Eds.), The International Encyclopedia of Communication Research Methods. Hoboken, NJ: Wiley-Blackwell. https://doi.org/10.1002/9781118901731.iecrm0015
  19. Liang, H., & Fu, K. W. (2015). Testing propositions derived from Twitter studies: Generalization and replication in computational social science. PLoS ONE, 10(8), e0134270. https://doi.org/10.1371/journal.pone.0134270
  20. Shen, F., & Liang, H. (2015). Cultural difference, social values, or political systems? Predicting willingness to engage in online political discussion in 75 societies. International Journal of Public Opinion Research, 27(1), 111-124. https://doi.org/10.1093/ijpor/edu012
  21. Liang, H. (2014). The organizational principles of online political discussion: A relational event stream model for analysis of web forum deliberation. Human Communication Research, 40(4), 483-507. https://doi.org/10.1111/hcre.120340. Liang, H. (2014). Coevolution of political discussion and common ground in web discussion forum. Social Science Computer Review, 32(2), 155-169. https://doi.org/10.1177/0894439313506844
  22. Shen, F., & Liang, H. (2014). Do Chinese Internet users care about news? Tracking news consumers on the Internet in a metropolis 2009-2011. Chinese Journal of Communication, 7(1), 60-79. https://doi.org/10.1080/17544750.2013.816755