The Structures and Consequences of Online Political Discussion: Computational Studies Using Social Media Data


(Normative) theorists have argued that conversation is the soul of democracy. However, political discussions might not be as ideal as the theorists envisioned. This talk summarizes a series of computational studies using large-scale social media data to examine the structures and consequences of political discussions online. Specifically, this talk discusses both the positive and negative sides: the organizational principles of web forum discussions and how they could help produce common ground among the users, how diffusion structures are related to cross-ideological interaction on Twitter, to what extent movement-related discussions on LIHKG are leaderless, and finally how to identify the causal effects of incivility such as swearing and name-calling using machine learning and text mining.


Prof. Hai LIANG
School of Journalism and Communication

The Chinese University of Hong Kong

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