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            Chapter 22 Social Credit System and Privacy

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            Author(s)
            Chen, Mo
            Engelmann, Severin
            Grossklags, Jens
            Language
            English
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            Abstract
            The Chinese Social Credit System (SCS), the first nationwide digitally implemented social rating system, aims to enhance trustworthiness within Chinese society and serves as a critical example of digital transformation of society. It is further designed to improve moral behavior, financial reliability, and social control. The implementation of the SCS is based on a large scale of personal information collection, processing, evaluation, and disclosure, which raises serious privacy concerns. This chapter briefly introduces the SCS before delving into the privacy issues raised by the SCS's two branches: the government-run SCS and the commercial branch. We discuss three major privacy concerns. First, personal information disclosed via the SCS blacklists and redlists is a considerable challenge to privacy and even security. Second, the SCS framework further facilitates personal data flows from the private sector to the government. Third, although the Chinese legal environment for privacy protection is evolving, enforcement is lacking. Finally, we shed light on using SCS data for research.
            Book
            The Routledge Handbook of Privacy and Social Media
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/190754
            Keywords
            AI, ICT, algorithm, artificial intelligence, communication studies, data, digital communication, digital media, information law, media and society, network, online, policy, protection, psychology, regulation, rights, security, technology
            DOI
            10.4324/9781003244677-26
            ISBN
            9781032111612, 9781032155555
            Publisher
            Taylor & Francis
            Publisher website
            http://www.taylorandfrancis.com/
            Publication date and place
            2023
            Imprint
            Routledge
            Pages
            11
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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