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Unmapped Privacy Expectations in China: Discussions Based on the Proposed Social Credit System

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Information in Contemporary Society (iConference 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11420))

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Abstract

Privacy has become a global topic of concern. Meanwhile, it is a concept that is deeply rooted in local cultures. This paper is conceptual exploration of privacy in China, it proposes that privacy is a concept yet to be fully mapped out in Chinese culture. Specifically, this paper uses the proposed Social Credit System in China as an example of discussion, for this example not only helps with capturing the urgency and significance of the topic, but also is particularly provocative in revealing the scope of privacy as a cultural concept. This paper begins with a brief introduction to the proposed Social Credit System; then, it discusses what might constitute a cultural perspective to understand privacy, and cautions the complexity of comparing privacy across cultures. This paper could serve as a meaningful reflection for both countries who are concerned with privacy issues in face of large scale application of big data analytics, and for privacy scholars in cross-culture contexts.

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Author information

Authors and Affiliations

  1. University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-3360, USA

    Yuanye Ma

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  1. Yuanye Ma
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Correspondence to Yuanye Ma .

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Editors and Affiliations

  1. University of South Florida, Tampa, FL, USA

    Natalie Greene Taylor

  2. University of Maryland, College Park, MD, USA

    Caitlin Christian-Lamb

  3. University of Washington, Seattle, WA, USA

    Michelle H. Martin

  4. University of California, Irvine, Irvine, CA, USA

    Bonnie Nardi

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Ma, Y. (2019). Unmapped Privacy Expectations in China: Discussions Based on the Proposed Social Credit System. In: Taylor, N., Christian-Lamb, C., Martin, M., Nardi, B. (eds) Information in Contemporary Society. iConference 2019. Lecture Notes in Computer Science(), vol 11420. Springer, Cham. https://doi.org/10.1007/978-3-030-15742-5_75

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  • DOI: https://doi.org/10.1007/978-3-030-15742-5_75

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15741-8

  • Online ISBN: 978-3-030-15742-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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