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About me

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Computational Tools

less than 1 minute read

Published:

A collection of commonly used computational tools:

portfolio

publications

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

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

COMM6320: Digital Research

PhD course, School of Journalism and Communication, CUHK, 2022

COMM6320 (2024-2025 Term 2)
Teacher: Prof. LIANG Hai (NAH310)
NAH209: Wed 10:30 AM - 1:15 PM

COMM5520: Applied Communication Research

Master course, School of Journalism and Communication, CUHK, 2024

COMM5520C (2024-2025 Term 1)
Teacher: Prof. LIANG Hai (NAH310)
WMY406/NAH209: Tue. 6:30 PM - 9:15 PM