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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Yes, you can access Computational Social Science by Xiaogang Wu,Yongjun Zhang,Tianji Cai in PDF and/or ePUB format, as well as other popular books in Social Sciences & Sociology. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Routledge

Year

2024

ISBN

9781040036631

Edition

Topic

Social Sciences

Subtopic

Sociology

Index

Social Sciences

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