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Cited by 617Ethics and Social Impacts of AICOVID-19 Digital Contact TracingBig Data Technologies and Applications

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Constructing a Data‐Driven Society: China's Social Credit System as a State Surveillance Infrastructure

Liang, Fan, Das, Vishnupriya, Kostyuk, Nadiya, Hussain, Muzammil M.·2018·Policy & Internet
DOI 10.1002/poi3.183
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Abstract

Big data technologies have been adopted by both the public and private sectors to develop and expand surveillance capacities. This article traces the institutional processes and political‐economic interests of the public and private stakeholders involved in the construction of China's Social Credit System (SCS), which is currently on track for full deployment on 1.4 billion citizens by 2020. The SCS aims to centralize data platforms into a big data–enabled surveillance infrastructure to manage, monitor, and predict the trustworthiness of citizens, firms, organizations, and governments in China. A punishment/reward system based on credit scores will determine whether citizens and organizations are able to access things like education, markets, and tax deductions. While the SCS is widely described by the Western news media as a means of “big brother” or political control, we find that it is a complicated system that focuses primarily on financial and commercial activities rather than political ones. This article presents a framework for understanding state surveillance infrastructures by exploring how various government agencies are cooperating to establish this centralized data infrastructure with the aim of scoring credit, and discussing the distinct but interconnected processes of data collection, data aggregation, and data analytics.

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Crossref · 10.1002/poi3.183

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Research works printed but not linked: 6

  1. Hoffman S., 2017, Managing the State: Social Credit, Surveillance and the CCP's Plan for China, China Brief Volume, 17, 21
  2. Lin H., 2003, The Definition and Attributes of Credit and the Construction of China's Credit System (Xinyong De Dingyi He Shuxing Yu Zhongguo Xinyong Zhidu Jianshe), Fujian Finance, 10, 1
  3. Shi X., 2007, On Evolution of the Concept of Credit (Lun Xinyong Gainian De Lishi Yanjing), Journal of Peking University, 44, 120
  4. Yu S., 2016, Analyzing the Process of Social Credit System Construction in China (Woguo Shehui Xinyong Tixi Jianshe De Jincheng Yanjiu), Tribune of Study, 32, 14
  5. Zhang T., 2015, Using Big Data Theory to Establish a New Standard for Social Credit System (Yong Dashuju Yuanli Jianli Shehui Xinyong Tixi Xinbiaozhun), Information China, 10, 94
  6. Zhang Z., 2016, Institutional Construction for Social Credit System in the Era of Big Data (Dashuju Shidai Shehui Chengxin Tixi De Zhidu Jianshe), Credit Reference, 9, 58

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Metadata

Authors
Liang, F., Das, V., Kostyuk, N., & Hussain, M. M.
ORCID
Venue
Policy & Internet
Publisher
Wiley
Published
2018-08-02
Volume
10
Issue
4
Pages
415-453
ISSN
1944-2866 (ISSN-L)
DOI
10.1002/poi3.183
OpenAlex
W2887516688
Cited by
617
References
24
Citations by year
2026: 44 · 2025: 49 · 2024: 42 · 2023: 174 · 2022: 101 · 2021: 97 · 2020: 71 · 2019: 32 · 2018: 7
FWCI
103.17
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations
Policy & Internet (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Physical Sciences › Computer Science › Information Systems › COVID-19 Digital Contact Tracing
  • Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
Keywords
social credit system, big data, credit scoring, data platform, data collection, data aggregation, data analytics, trustworthiness, government agencies, China, data-driven society

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