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Posts
Computational Methods Books - A Personal Collection
Published:
A personal collection of computational methods books (online only):
Computational Tools
Published:
A collection of commonly used computational tools:
portfolio
publications
Coevolution of political discussion and common ground in web discussion forum
Published in Social Science Computer Review, 2014
Recommended citation: Liang, H. (2014). Coevolution of political discussion and common ground in web discussion forum. Social Science Computer Review, 32(2), 155-169. doi: 10.1177/0894439313506844
The organizational principles of online political discussion
Published in Human Communication Research, 2014
Recommended citation: 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. doi: 10.1111/hcre.12034
Testing propositions derived from Twitter studies
Published in PLoS ONE, 2015
Recommended citation: Liang, H., & Fu, K. W. (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
Information similarity overload and redundancy
Published in Journal of Computer-Mediated Communication, 2017
Recommended citation: 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. doi: 10.1111/jcc4.12178
Privacy protection and self-disclosure across societies
Published in New Media & Society, 2017
Recommended citation: 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. doi: 10.1177/1461444816642210
Broadcast versus viral spreading
Published in Journal of Communication, 2018
Recommended citation: 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. doi: 10.1093/joc/jqy006
Network redundancy and information diffusion
Published in Communication Research, 2019
Recommended citation: 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. doi: 10.1177/0093650216682900
Partisan bias of perceived incivility and its political consequences
Published in Journal of Communication, 2021
Recommended citation: 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. doi: 10.1093/joc/jqab008
The expression effects of uncivil disagreement
Published in Human Communication Research, 2023
Recommended citation: 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. doi: 10.1093/hcr/hqac032
talks
Information Diffusion in Communication Networks
Published:
This talk summarized the popular empirical models including user-centric models, cascade-centric models, and a newly developed model by combining the two.
Tutorial on Weird Statistics Questions
Published:
This is a tutorial for the PhD students in the school of journalism and communication at CUHK.
The Structures and Consequences of Online Political Discussion
Published:
This talk summarizes a series of computational studies using large-scale social media data to examine the structures and consequences of political discussions online.
Detection of Content Incivility and its Causal Effects using Machine Learning
Published:
Using political incivility as an example, this talk presents a dictionary-based classification method, by leveraging word embeddings, could outperform supervised machine learning methods to detect uncivil content in online comments. Furthermore, this talk shows that machine learning models could help identify the causal effects of political incivility on engagement and contagions, by controlling for textual confounders.
teaching
COMM3650: Social Media Analytics for Communication Professionals
Undergraduate course, School of Journalism and Communication, CUHK, 2022
COMM3650 (2022-2023 Term 1)
Teacher: Prof. LIANG Hai (NAH310)
NAH209: We 10:30 AM - 1:15 PM
COMM5631: Digital Humanities: Methods and Tools
Master course, School of Journalism and Communication, CUHK, 2022
COMM5631 (2022-2023 Term 2)
Teacher: Prof. LIANG Hai (NAH310)
NAH209: Th 6:30 PM - 9:15 PM
COMM6320: Digital Research
PhD course, School of Journalism and Communication, CUHK, 2022
COMM6320 (2022-2023 Term 2)
Teacher: Prof. LIANG Hai (NAH310)
NAH209: We 2:30 PM - 5:15 PM