CV

Hai Liang

5/F, Run Run Shaw Creative Media Centre

18 Tat Hong Avenue, Kowloon, Hong Kong

Email: hai.liang [At] my.cityu.edu.hk

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Education

  • Ph.D., Web Mining Lab, Department of Media and Communication, City University of Hong Kong (Social web data mining, Political communication, Media psychology) (2009-2014)
  • BA in Communication, Department of Communication, School of Media and Design, Shanghai Jiao Tong University (2005-2009)
  • BS (2nd) in Mathematics, Department of Mathematics, Shanghai Jiao Tong University (2006-2009)

Academic Visiting

  • Australian Demographic & Social Research Institute, Australia National University (Feb 2011 – June 2011)

Work Experience

  • Applied Researcher, Microsoft, ARD, Bing Data Ming Group & Microsoft Research, China, 2013
  • PR & Data Analyst, AGB-Nelson TV Rating, 2008
  • Financial Journalist, Shanghai Youth Daily, 2007

Ongoing Projects

  • Sociology of time on the Internet
  • Cross national comparison of web forum discussion
  • Online user behavior
  • Computer assisted classification of agreement
  • Audience representation and media representation of national images
  • Framing adoption and attitude change

Research Skills

  • Statistics in Social Science (ANOVA, Regression models, Multilevel modeling, Time series analysis, Survival analysis, Structure equation Modeling etc.)
  • Social network analysis (ERGM, Relational event stream modeling, Longitudinal network analysis etc.)
  • Big Data Mining, Machine Learning, Natural Language Processing, Web Crawling
  • R, Python, C#, SQL, and MS Scope
  • Experiment design, Survey, Content analysis

Teaching

  • Computational social science for communication research
  • Social media analytics
  • Digital humanities: Methods and tools
  • Applied communication research

Publications

  • SSCI Journal Articles
  1. Liang, H., & Fu, K. W. (2016). Information similarity, overload, and redundancy: Unsubscribing information sources on Twitter. Journal of Computer-Mediated Communication. doi: 10.1111/jcc4.12178
  2. Liang, H., Shen, F. & Fu, K. W. (2016). Privacy protection and self-disclosure across societies: A study of global Twitter users. New Media & Society. doi: 10.1177/1461444816642210
  3. 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.
  4. Liang, Hai & Fu, King-wa (2015). Testing propositions derived from Twitter studies: Generalization and replication in computational social science. PLoS ONE, 10(8), e0134270. doi: 10.1371/journal.pone.0134270 [Replication Materials]
  5. Liang, Hai (2014). The organizational principles of online political discussion: A relational event stream model for analysis of web forum deliberation. Human Communication Research. doi: 10.1111/hcre.12034
  6. Shen, Fei & Liang, Hai (2014). Cultural difference, social Values, or political systems? Predicting willingness to engage in online political discussion in 75 societiesInternational Journal of Public Opinion Research. doi: 10.1093/ijpor/edu012
  7. Liang, Hai (2014). Coevolution of political discussion and common ground in web discussion forumSocial Science Computer Review, 32(2), 155-169. doi: 10.1177/0894439313506844
  8. Shen, Fei & Liang, Hai (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. doi: 10.1080/17544750.2013.816755
  • Publications in Chinese
  1. Zhu, J. J. H., Peng, T. Q., Liang, H., Wang, C. J., Qin, J., & Chen, H. X. (2014). Computational Social Science in Communication Research. e-Science Technology and Application, 5(2), 3-13. (CSCI)
  2. Xue, Ke, Liang, Hai, Chen, Xi, & Yu, Ming-Yang (2013). The structure of online public expression and issue rise. Journal of SJTU (Philosophy and Social Science), 21(2), 61-69. (CSSCI)
  3. Jiang, Ping & Liang, Hai (2011). Media, audience, social-economic environment, and advertising: A structural equation model. In Guoming Yu (Eds.), Annual Report on China’s Media Development Index (2011) (pp.627-637). Beijing: People’s Daily Press.
  4. Xue, Ke, Chen, Xi, & Liang, Hai (2011). Weibo versus tea-house: The extension of interpersonal communication. Contemporary Communication, 6, 67-70. (CSSCI)
  5. Xue, Ke, Liang, Hai, & Yu, Ming-Yang (2011). The impact of social interaction on hostile media effect. Journal of SJTU (Philosophy and Social Science), 19 (6), 39-48. (CSSCI)
  6. Xue, Ke & Liang, Hai (2009). Social cognition of media image: An analysis of NYT reports on Tibet. Journalism and Communication Research, 16(1), 13-18. (CSSCI)
  7. Xue, Ke, Liang, Hai, & Yu, Ming-Yang (2008). An information-balanced model of communication in online forums. Journal of SJTU (Philosophy and Social Science), 4(6), 48-56. (CSSCI)
  • Conference Papers
  1. Liang, Hai & Shen, Fei (2013). Communicative inequalities in online discussion forums. Paper presented at the 63rd Annual Conference of International Communication Association (ICA), London, UK.
  2. Shen, Fei & Liang, Hai (2013). Examining societal-level predictors of political discussion in online forums. Paper presented at the 63rd Annual Conference of International Communication Association (ICA), London, UK.
  3. Liang, Hai (2012). Online public opinion as rationality or social control? A cross-national comparison of public expression in online discussion forum. Paper presented at the 3rd Honours Symposium for Asian Ph.D. Students in Communication Research, Seoul, Korea.
  4. Liang, Hai (2012). A psychological framework of text mining in media study. Paper presented at the Advances in Psychology and Communication Studies Symposium, Taiyuan, Shanxi, China.
  5. Liang, Hai & Shen, Fei (2012). Representation of political discussion in web forums: A cross-national assessment. Paper presented at the 65th Annual Conference of Word Association for Public Opinion (WAPOR)Hong Kong.
  6. Liang, Hai & Zhu, J. H. Jonathan (2012). A pattern in behavior stream: Transition and repetition of behavior choices. Paper presented at the 62th Annual Conference of International Communication Association (ICA)Phoenix, USA.
  7. Liang, Hai (2011)The structure of public expression and issue rise: participation heterogeneity, concentration, and timing in Internet forums. Paper presented at the 3rd Postgraduate Student Symposium of the Chinese Journalism and Communication Consortium, Shanghai, China (Top paper)
  8. Liang, Hai (2010). The evolutionary process of repetitive behavior: Decision making, social learning, and Incongruity adaptation. Paper presented at the second Postgraduate Symposium of Chinese Journalism and Communication Consortium, Beijing.
  9. Liang, Hai, & Xue, Ke (2010). The impact of social interaction on the hostile media effect. Paper presented at the 60th Annual Conference of International Communication Association (ICA), Singapore.

Invited Academic Presentations

  1. Liang, Hai (2012). A psychological framework of text mining in media studies. Reported on August 24 2012, for the Conference of Advances of Psychology and Communication Research at Taiyuan in Shanxi, China.
  2. Liang, Hai (2012). A problem of self identity: My experience of cross-disciplinary Research. Reported on 19 April 2012, for the Postgraduate Forum at City University of Hong Kong 2012, Hong Kong.
  3. Liang, Hai (2011). Four approaches to model the change of opinion climate in Web Forums. Reported on May 30 2011, at the Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia.
  4. Liang, Hai (2011). The structure of public expression and issue rise: Participation heterogeneity, concentration, and timing in Internet forums. Reported on May 3 2011, at Australian Demographic & Social Research Institute (ADSRI) of Australian National University (ANU), Australia.
  5. Liang, Hai (2011). Framing research in communication. Reported at the Institute of Arts and Humanities at Shanghai Jiao Tong University, China. 

Other Publication on Newspapers:

  1. 2007年《老牌基金受基民青睐膨胀迅速》上海青年报 B5整版
  2. 2007年《震荡市才更适合投资基金》数据统计 上海青年报B5整版
  3. 2007年《工行暴涨并非只为掩护个股出货》数据统计 上海青年报B3
  4. 2007年《理财讲堂解读基金投资风险》 上海青年报B3
  5. 2007年《在沪基金经理变动频率全国居首》上海青年报B6

 

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