Hai Liang PhD

Hai Liang PhD

Associate Professor @ CUHK

All publications

You can also find the articles on my Google Scholar or ORCID profile.

Books and Book Chapters

  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. Wei, R., Lo, V. H., Huang, Y. H., Dong, D., Liang, H., Huang, G., & Wang, S. (2023). Miscommunicating the COVID-19 pandemic: An Asia perspective. Routledge. https://doi.org/10.4324/9781003355984
  3. Lu, S., Liang, H., & Masullo, G. (2023). User comments as news quality: Examining incivility in comments on perceptions of news quality. In R. Lawrence & P. Napoli (Eds.), News Quality in the Digital Age. Routledge. https://doi.org/10.4324/9781003257998-7
  4. Zhou, B., & Liang, H. (Eds.). (2022). Computational public opinion research in the age of big data: Theories, methods, and applications (大数据时代的计算舆论学：理论、方法与案例). Fudan University Press (复旦大学出版社).
  5. Peng, T. Q., Liang, H., & Zhu, J. J. H. (Eds.). (2019). Special Issue on Introducing Computational Social Science for Asia-Pacific Communication Research. Asian Journal of Communication, 29(3). https://www.tandfonline.com/toc/rajc20/29/3
  6. 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

Peer-Reviewed Journal Articles

  1. Wang, H. H., Cheng, E. W., Chen, X., & Liang, H. (2024). How institutionalized feedback works: Online citizen complaints and local government responsiveness in China. Governance. https://doi.org/10.1111/gove.12907
  2. Lu, S., & Liang, H. (2024). Silencing online incivility: Examining the effects of impoliteness and intolerance in online political discussions. Journal of Broadcasting & Electronic Media, 68(4), 538-559. https://doi.org/10.1080/08838151.2024.2360596
  3. Lu, S., & Liang, H. (2024). Reactance to uncivil disagreement? The integral effects of disagreement, incivility, and social endorsement. Journal of Media Psychology, 36(1), 15-26. https://doi.org/10.1027/1864-1105/a000378
  4. Lee, F. L. F., & Liang, H. (2024). Multi-ethnicity as a moderator of contextual effects on tolerance: The case of Hong Kong. The Social Science Journal, 61(1), 110-124. https://doi.org/10.1080/03623319.2020.1799175
  5. 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
  6. 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
  7. 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
  8. 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
  9. Liang, H. & Ng, Y. M. M. (2023). The expression effects of uncivil disagreement: The mechanisms of cognitive dissonance and self-perception. Human Communication Research, 49(3), 251-259. https://doi.org/10.1093/hcr/hqac032
  10. Lu, S., Liang, H., & Masullo, G. (2023). Selective avoidance: Understanding how position and proportion of online incivility influence news engagement. Communication Research, 50(4), 387-409. https://doi.org/10.1177/00936502221130837
  11. 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
  12. Lee, F. L. F., Liang, H., Cheng, E. W., Tang, G. K. Y., & Yuen, S. (2022). Affordances, movement dynamics, and LIHKG as a centralized communication platform in the 2019 Hong Kong protests. Information, Communication & Society, 25(12), 1699-1716. https://doi.org/10.1080/1369118X.2021.1877772
  13. 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
  14. Lee, F. L. F., Cheng, E. W., Liang, H., Tang, G. K. Y., & Yuen, S. (2022). Dynamics of tactical radicalization and public receptiveness in Hong Kong’s anti-extradition bill movement. Journal of Contemporary Asia, 52(3), 429-451. https://doi.org/10.1080/00472336.2021.1910330
  15. 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
  16. 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
  17. Liang, H., & Zhang, X. (2021). Partisan bias of perceived incivility and its political consequences: Evidence from survey experiments in Hong Kong. Journal of Communication, 71(3), 357–379. https://doi.org/10.1093/joc/jqab008
  18. 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
  19. Lee, F. L. F., & Liang, H. (2020). Perceived threat of a linguistic community and context effect on attitude toward immigration in Hong Kong. Asian Journal of Social Science, 48(3-4), 250-273. https://doi.org/10.1163/15685314-04803004
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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.12034
  30. 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
  31. 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

Public Health & Health Communication

  1. Wei, R., Lo, V. H., Huang, Y. H., Dong, D., Liang, H., Huang, G., & Wang, S. (2023). Miscommunicating the COVID-19 Pandemic: An Asia Perspective. Routledge. https://doi.org/10.4324/9781003355984
  2. Muniz-Rodriguez, K., Schwind, J. S., Yin, J., Liang, H., Chowell, G., Fung, I. C. H. (2023). Exploring social media network connections to assist during public health emergency response: A retrospective case-study of Hurricane Matthew and Twitter users in Georgia, USA. Disaster Medicine and Public Health Preparedness, 17(e315), 1–9. https://doi.org/10.1017/dmp.2022.285
  3. Evans, H. I., Handberry, M. T., Muniz-Rodriguez, K., Schwind, J. S., Liang, H., Adhikari, B. B., Meltzer, M. I., Fung, I. C. H. (2023). Winter storms and unplanned school closure announcements on Twitter: Comparison between the states of Massachusetts and Georgia, 2017-18. Disaster Medicine and Public Health Preparedness, 17(e132), 1-9. https://doi.org/10.1017/dmp.2022.41
  4. Bayliss, L. C., Zhu, Y., Fu, K. W., Mullican, L. A., Ahmed, F., Liang, H., Tse, Z. T. H., Saroha, N., Yin, J., Fung, I. C. H. (2021). Conversing or diffusing information? An examination of public health Twitter chats. Journal of Public Interest Communications, 5(2), 27-47. https://doi.org/10.32473/jpic.v5.i2.p27
  5. Zhu, Y., Fu, K. W., Grépin, K. A., Liang, H., Fung, I. C. H. (2020). Limited early warnings and public attention to COVID-19 in China, January-February, 2020: A longitudinal cohort of randomly sampled Weibo users. Disaster Medicine and Public Health Preparedness, 14(5), E24-E27. https://doi.org/10.1017/dmp.2020.68
  6. Fung, I. C. H., Blankenship, E. B., Ahweyevu, J. O., Cooper, L. K., Duke, C. H., Carswell, S. L., Jackson, A. M., Jenkins, J. C., Duncan, E. A., Liang, H., Fu, K. W., Tse, Z. T. H. (2020). Public health implications of image-based social media: A systematic review of Instagram, Pinterest, Tumblr, and Flickr. The Permanente Journal, 24. https://doi.org/10.7812/TPP/18.307
  7. Liang, H., Fung, I. C. H., Tse, Z. T. H., Yin, J., Chan, C. H., Pechta, L. E., Smith, B. J., Marquez-Lameda, R. D., Meltzer, M. I., Lubell, K. M., Fu, K. W. (2019). How did Ebola spread on Twitter: Broadcasting or viral spreading? BMC Public Health, 19(1), 438-458. https://doi.org/10.1186/s12889-019-6747-8
  8. Fung, I. C. H., Yin, J., Pressley, K. D., Duke, C. H., Mo, C., Liang, H., Fu, K. W., Tse, Z. T. H., Hou, S. I. (2019). Pedagogical demonstration of Twitter data analysis: A case study of World AIDS Day, 2014. Data, 4(2), 1-12. https://doi.org/10.3390/data4020084
  9. Jordan, S. E., Hovet, S. E., Fung, I. C. H., Liang, H., Fu, K. W., Tse, Z. T. H. (2019). Using Twitter for public health surveillance from monitoring and prediction to public response. Data, 4(1), 6-25. https://doi.org/10.3390/data4010006
  10. Schaible, B. J., Snook, K. R., Yin, J., Jackson, A. M., Ahweyevu, J. O., Chong, M., Tse, Z. T. H., Liang, H., Fu, K. W., & Fung, I. C. H. (2019). Twitter conversations and English news media reports on poliomyelitis in five different countries, January 2014 to April 2015. The Permanente Journal. 23. https://doi.org/10.7812/TPP/18-181
  11. Adnan, M. M., Yin, J., Jackson, A. M., Tse, Z. T. H., Liang, H., Fu, K. W., Saroha, N., Althouse, B. M., & Fung, I. C. H. (2019). World Pneumonia Day 2011-16: Twitter contents and retweets. International Health, 11(4), 297–305. https://doi.org/10.1093/inthealth/ihy087
  12. Jackson, A. M., Mullican, L. A., Yin, J., Tse, Z. T. H. T., Liang, H., Fu, K. W., Ahweyevu, J. O., Jenkins, J. J., Saroha, N., & Fung, I. C. H. (2018). #CDCGrandRounds and #VitalSigns: A Twitter analysis. Annals of Global Health, 84(4), 710–716. https://doi.org/10.29024/aogh.2381
  13. Blankenship, E. B., Goff, M. E., Yin, J., Tse, Z. T. H., Fu, K. W., Liang, H., Saroha, N., & Fung, I. C. H. (2018). Sentiment, contents and retweets: A study of two vaccine-related Twitter datasets. Permanente Journal, 22. https://doi.org/10.7812/TPP/17-138
  14. Fung, I. C. H., Zeng, J., Chan, C. H., Liang, H., Yin, J., Liu, Z., Tse, Z. T. H., & Fu, K. W. (2018). Twitter and Middle East respiratory syndrome, South Korea, 2015: A multi-lingual study. Infection, Health and Disease, 23(1), 10-16. https://doi.org/10.1016/j.idh.2017.08.005
  15. Fung, I. C. H., Jackson, A. M., Ahweyevu, J., Grizzle, J., Yin, J., Tse, Z. T. H., Liang, H., Sekandi, J. N., & Fu, K. W. (2017). #Globalhealth Twitter conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: A cross-sectional analysis. Annals of Global Health, 83(3-4), 682-690. https://doi.org/10.1016/j.aogh.2017.09.006
  16. Fu, K. W., Liang, H., Saroha, N., Tse, Z. T. H., Ip, P., & Fung, I. C. H. (2016). How people react to Zika virus outbreaks on Twitter? A computational content analysis. American Journal of Infection Control, 44(12), 1700–1702. https://doi.org/10.1016/j.ajic.2016.04.253

Other Publications in Chinese

  1. Liang, H. (2022). Digital media as data and methods (作為數據和方法的數字媒體). Mass Communication and Society (《傳播與社會學刊》), 59, v-vii. (TSSCI)
  2. Zhang, L, Peng, T. Q., Wang, C. J., Liang, H., & Zhu, J. J. H. (2021). A natural course from marginality to centrality: What we learned from the development of computational communication research in China (從邊陲到主流的一條自然路徑：華人計算傳播學者的參與和體驗). In F. L. F. Lee, & Y. Huang (Eds.), Inherit and Inspire: The Past, Present and Future of Chinese Communication Studies (《傳承與創新：中華傳播研究40年》) (pp. 399-419). Hong Kong: Chinese University of Hong Kong Press.
  3. Wei, R., & Liang, H. (2021). Thirty years of media effects research (媒介效果研究三十年：和魏然教授對話). Mass Communication and Society (《傳播與社會學刊》), 57, 1-27. (TSSCI)
  4. Zhu, J. J. H., Peng, T. Q., Liang, H., Wang, C. J., Qin, J., & Chen, H. X. (2014). Computational social science in communication research (计算社会科学在新闻传播研究中的应用). e-Science Technology and Application (《科研信息化技术与应用》), 5(2), 3-13. (CSCI)
  5. Xue, K., Liang, H., Chen, X., & Yu, M-Y. (2013). The structure of online public expression and issue rise (网络论坛公共表达与议题上升的结构研究). Journal of SJTU (Philosophy and Social Science) (《上海交通大学学报: 哲学社会科学版》), 21(2), 61-69. (CSSCI)
  6. Xue, K., Chen, X., & Liang, H. (2011). Weibo versus teahouse: The extension of interpersonal communication (微博 VS. 茶馆: 对人际传播的回归与延伸). Contemporary Communication (《当代传播》), 6, 67-70. (CSSCI)
  7. Xue, K., Liang, H., & Yu, M-Y. (2011). The impact of social interaction on hostile media effect (社会互动对敌意媒体效果的影响). Journal of SJTU (Philosophy and Social Science) (《上海交通大学学报: 哲学社会科学版》), 19(6), 39-48. (CSSCI)
  8. Xue, K., & Liang, H. (2009). Social cognition of media image: An analysis of NYT reports on Tibet (基于刻板思维的国家形象符号认知——以《 纽约时报》 的 “西藏事件” 报道为例). Journalism and Communication Research (《新闻与传播研究》), 16(1), 13-18. (CSSCI)
  9. Xue, K., Liang, H., & Yu, M-Y. (2008). An information-balanced model of communication in online forums (基于信息平衡的网络论坛传播模式研究). Journal of SJTU (Philosophy and Social Science) (《上海交通大学学报: 哲学社会科学版》), 4(6), 48-56. (CSSCI)