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    The Handbook of Privacy Studies

    An Interdisciplinary Introduction

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    Contributor(s)
    van der Sloot, Bart (editor)
    de Groot, Aviva (editor)
    Language
    English
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    Abstract
    The Handbook of Privacy Studies is the first book in the world that brings together several disciplinary perspectives on privacy, such as the legal, ethical, medical, informatics and anthropological perspective. Privacy is in the news almost every day: mass surveillance by intelligence agencies, the use of social media data for commercial profit and political microtargeting, password hacks and identity theft, new data protection regimes, questionable reuse of medical data, and concerns about how algorithms shape the way we think and decide. This book offers interdisciplinary background information about these developments and explains how to understand and properly evaluate them. The book is set up for use in interdisciplinary educational programmes. Each chapter provides a structured analysis of the role of privacy within that discipline, its characteristics, themes and debates, as well as current challenges. Disciplinary approaches are presented in such a way that students and researchers from every scientific background can follow the argumentation and enrich their own understanding of privacy issues.
    URI
    https://library.oapen.org/handle/20.500.12657/95832
    Keywords
    Privacy, Personal Information, Data Driven Technologies, Interdisciplinary, Education,
    DOI
    10.5117/9789462988095
    ISBN
    9789462988095, 9789048540136
    Publisher
    Amsterdam University Press
    Publisher website
    https://www.aup.nl/
    Publication date and place
    Amsterdam, 2018
    Classification
    Privacy and data protection
    Pages
    457
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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