The Social Credit System of the CPC's Big Data Strategy: A Case Study of Xinjiang Uyghur Autonomous Region
2019
Hochschulschrift
Zugriff:
107
The People’s Republic of China’s “Social Credit System” (SCS) will commence in 2020, as scheduled by the “2014-2020 Outline of SCS Construction Plan” promulgated in 2014. The SCS uses big data technology to collect the social footprint of all Chinese people, such as credit status, behavior, and online speech. It uses the concept of credit ratings in Western World to enforce social governance. Each citizen is given a set of “Credit Codes” to provide government to implement the credit scores. The rewards and penalties system is strictly implemented to conform with the core values of “ntegrity” set by the Communist Party of China (CPC). The main purpose of this paper is to explore how the CPC can build a SCS through big data technology to achieve the goal of stability, and try to find out the impact and dilemma. This study through the literature to summarize the control methods of Chinese society from the evolution of the SCS, and selecting the governance model of the Xinjiang Uyghur Autonomous Region for observation so that the research can be more focused. The study demonstrate that the SCS is currently not developed at technology development, resource integration, infrastructure construction, and information protection. The SCS only highlights the implementation of the reward and punishment system, ignoring the inclusiveness of society, and there will still be many social problems in the future. Although the SCS can maintain social governance effectively, and consolidate the stability of politics. However, its persecution of the people and violations of human nature will be the fatal wound of the totalitarian rule.
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The Social Credit System of the CPC's Big Data Strategy: A Case Study of Xinjiang Uyghur Autonomous Region
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Autor/in / Beteiligte Person: | 謝承宏 |
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Veröffentlichung: | 2019 |
Medientyp: | Hochschulschrift |
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