Computational Social Science
Application in China Studies
- 192 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
This edited collection provides an overview of the recent developments in computational social science related to China studies and presents interdisciplinary empirical work from diverse scholars on culture, public opinion, and education using advanced computational methods and big data.
The topics covered in this book include the surge of anti-China sentiment amid the COVID-19 pandemic, the nuances of E-governance, public opinion, authoritarian reactions, artistic innovation, and educational inequality. The chapters in this book provide important insights into how computational social science can be applied generally, but also underscore the importance of combining conventional sociological research with contemporary computational methods in the context of China studies.
This cutting-edge volume will be valuable resource for researchers, scholars and practitioners of Sociology, China Studies and for those interested in computational approaches to the social sciences. The chapters in this book were originally published in Chinese Sociological Review.
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Citation Information
- Notes on Contributors
- Introduction
- 1 Between reality and perception: the mediating effects of mass media on public opinion toward China
- 2 “Just a virus” or politicized virus? Global media reporting of China on COVID-19
- 3 Authoritarian responsiveness and political attitudes during COVID-19: evidence from Weibo and a survey experiment
- 4 Does the crying baby always get the milk? An analysis of government responses for online requests
- 5 Bowing to five pecks of rice: how online monetization programs shape artistic novelty
- 6 Leveraging machine learning methods to estimate heterogeneous effects: father absence in China as an example
- Index