Book chapter
Investigating Regional Prejudice in China Through the Lens of Weibo
Social Informatics, pp.500-513
Lecture Notes in Computer Science, Springer International Publishing
10/19/2016
DOI: 10.1007/978-3-319-47874-6_34
Abstract
Regional prejudice is prevalent in Chinese cities where native residents and migrants from other parts of China lack mutual trust. Weibo users actively discuss and argue about the issue of migration, which provides a good source of data to examine the communication network regarding regional prejudice. We are interested in the posts and reposts related to the topic on migrants. In a Weibo repost, one can add new content in addition to the original post. Then both original and new content as a whole can be read by others. In particular, we focus on the reposts in response to native residents’ complaints about migrants. Based on the sentiment (negative or non-negative) and the direction (native resident→\documentclass[12pt]{minimal}
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\begin{document}$$\rightarrow $$\end{document}native resident), we classify the reposts into four categories. We find evidence of homophily in regional prejudice in the Weibo communication network: 72.7 % of the time, native residents’ complaints trigger more complaints from other native residents. What interests us most are the socioeconomic factors that can reverse the sentiment or direction of the original posts. A multinomial regression model of the reposting patterns reveals that in a city with better housing security and a larger migrant population, migrant Weibo users are much more likely to argue with native residents who hold a negative view about migrants. One important implication from our findings is that a secure socioeconomic environment facilitates the communication between migrants and native residents and helps break the self-reinforcing loop of regional prejudice.
Details
- Title: Subtitle
- Investigating Regional Prejudice in China Through the Lens of Weibo
- Creators
- Xi Wang - University of IowaZhiya Zuo - University of IowaYang Zhang - University of IowaKang Zhao - University of IowaYung-Chun Chang - Institute of Information Science, Academia SinicaChin-Shun Chou - Institute of Information Science, Academia Sinica
- Resource Type
- Book chapter
- Publication Details
- Social Informatics, pp.500-513
- Publisher
- Springer International Publishing; Cham
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-319-47874-6_34
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 10/19/2016
- Academic Unit
- Business Analytics; Center for Evaluation and Assessment
- Record Identifier
- 9984380388902771
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