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ID: 151574

Migration and popular resistance in rural China: Wukan and beyond / Lu, Yao ; Wang, Wei ; Zheng, Wenjuan

Wang, Wei	Journal Article
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This study draws on a case study of Wukan and interviews with migrants and peasants in other sites to examine how migration shapes popular resistance in migrant-sending communities (i.e. rural China). Findings demonstrate multidimensional roles played by migrants and returned migrants who act as a vehicle of informational and ideological transmission and at times directly participate in or even lead rural resistance in origin communities. Both the transmission and participation processes foster political consciousness and action orientations among peasants. The importance of migrants is exemplified in the Wukan protests but is also found in other settings under study. In general, migrants represent a latent political force that acts upon serious grievances back home. The findings provide a useful lens for understanding the diffusion of popular resistance and the linkage between urban and rural activism in China.

Key Words

Migration ; Rural China ; Protest ; Migrants ; Popular Resistance ; Wukan

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ID: 194286

Selection and Description Bias in Protest Reporting by Government and News Media on Weibo / Zhang, Han; Lu, Yao ; Bai, Rui

Lu, Yao	Journal Article
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Extensive research in Western societies has demonstrated that media reports of protests have succumbed to selection and description biases, but such tendencies have not yet been tested in the Chinese context. This article investigates the Chinese government and news media's selection and description bias in domestic protest events reporting. Using a large protest event data set from Weibo (CASM-China), we found that government accounts on Weibo covered only 0.4 per cent of protests while news media accounts covered 6.3 per cent of them. In selecting events for coverage, the news media accounts tacitly struck a balance between newsworthiness and political sensitivity; this led them to gravitate towards protests by underprivileged social groups and shy away from protests targeting the government. Government accounts on Weibo, on the other hand, eschewed reporting on violent protests and those organized by the urban middle class and veterans. In reporting selected protest events, both government and news media accounts tended to depoliticize protest events and to frame them in a more positive tone. This description bias was more pronounced for the government than the news media accounts. The government coverage of protest events also had a more thematic (as opposed to episodic) orientation than the news media.

Key Words

News Media ; Protest ; Social Media ; Weibo ; Text Analysis ; Media Bias ;
Machine learning

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