Computational communication research (CCR): An early and active adopter of computational social science (CSS)
Open Access
- 1 January 2025
- journal article
- Published by SAGE Publications in Chinese Journal of Sociology
- Vol. 11 (1) , 5-30
Abstract
Computational communication research (CCR) has emerged as an early and active subfield within computational social science, offering novel methodological approaches to address classical and emerging questions in communication research. This paper reviews the evolution and methodological developments in CCR in both the international research community and Chinese mainland, emphasizing the role of computational methods such as user analytics, content mining, and computational experiments. We map the alignment between traditional quantitative methods and computational ones, demonstrating how CCR methods have complemented and enhanced existing research paradigms. Through empirical applications, we illustrate the utility of CCR in understanding user behavior, content dynamics, and communication effects. We conclude with a discussion on the challenges of using computational methods in the Chinese context and the future directions for CCR.Keywords
Funding Information
- Centre for Communication Research, City University of Hong Kong (9360120)
This publication has 51 references indexed in Scilit:
- Persistent interaction patterns across social media platforms and over timeNature, 2024
- Like-minded sources on Facebook are prevalent but not polarizingNature, 2023
- When in doubt, lay it out: Over vs. under-accommodation in human-robot interactionLanguage Sciences, 2023
- Online public opinion during the first epidemic wave of COVID-19 in China based on Weibo dataHumanities and Social Sciences Communications, 2022
- What makes cancer information viral on social media?Computers in Human Behavior, 2019
- How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged ArgumentAmerican Political Science Review, 2017
- Tweetment Effects on the Tweeted: Experimentally Reducing Racist HarassmentPolitical Behavior, 2016
- How Censorship in China Allows Government Criticism but Silences Collective ExpressionAmerican Political Science Review, 2013
- A 61-million-person experiment in social influence and political mobilizationNature, 2012
- Experiments2011