Auditing corporate surveillance systems research methods for greater transparency
News headlines about privacy invasions, discrimination, and biases discovered in the platforms of big technology companies are commonplace today, and big tech's reluctance to disclose how they operate counteracts ideals of transparency, openness, and accountability. This book is for computer sc...
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| Format: | E-Book |
| Sprache: | English |
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2022
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| 520 | |a News headlines about privacy invasions, discrimination, and biases discovered in the platforms of big technology companies are commonplace today, and big tech's reluctance to disclose how they operate counteracts ideals of transparency, openness, and accountability. This book is for computer science students and researchers who want to study big tech's corporate surveillance from an experimental, empirical, or quantitative point of view and thereby contribute to holding big tech accountable. As a comprehensive technical resource, it guides readers through the corporate surveillance landscape and describes in detail how corporate surveillance works, how it can be studied experimentally, and what existing studies have found. It provides a thorough foundation in the necessary research methods and tools, and introduces the current research landscape along with a wide range of open issues and challenges. The book also explains how to consider ethical issues and how to turn research results into real-world change. | ||
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Datensatz im Suchindex
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| id | ZDB-20-CTM-CR9781108946940 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-18T12:04:35Z |
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| isbn | 9781108946940 |
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| spelling | Wagner, Isabel Auditing corporate surveillance systems research methods for greater transparency Isabel Wagner Cambridge Cambridge University Press 2022 1 Online-Ressource (xvii, 330 Seiten) txt c cr News headlines about privacy invasions, discrimination, and biases discovered in the platforms of big technology companies are commonplace today, and big tech's reluctance to disclose how they operate counteracts ideals of transparency, openness, and accountability. This book is for computer science students and researchers who want to study big tech's corporate surveillance from an experimental, empirical, or quantitative point of view and thereby contribute to holding big tech accountable. As a comprehensive technical resource, it guides readers through the corporate surveillance landscape and describes in detail how corporate surveillance works, how it can be studied experimentally, and what existing studies have found. It provides a thorough foundation in the necessary research methods and tools, and introduces the current research landscape along with a wide range of open issues and challenges. The book also explains how to consider ethical issues and how to turn research results into real-world change. Erscheint auch als Druck-Ausgabe 9781108837668 TUM01 ZDB-20-CTM TUM_PDA_CTM https://doi.org/10.1017/9781108946940 Volltext |
| spellingShingle | Wagner, Isabel Auditing corporate surveillance systems research methods for greater transparency |
| title | Auditing corporate surveillance systems research methods for greater transparency |
| title_auth | Auditing corporate surveillance systems research methods for greater transparency |
| title_exact_search | Auditing corporate surveillance systems research methods for greater transparency |
| title_full | Auditing corporate surveillance systems research methods for greater transparency Isabel Wagner |
| title_fullStr | Auditing corporate surveillance systems research methods for greater transparency Isabel Wagner |
| title_full_unstemmed | Auditing corporate surveillance systems research methods for greater transparency Isabel Wagner |
| title_short | Auditing corporate surveillance systems |
| title_sort | auditing corporate surveillance systems research methods for greater transparency |
| title_sub | research methods for greater transparency |
| url | https://doi.org/10.1017/9781108946940 |
| work_keys_str_mv | AT wagnerisabel auditingcorporatesurveillancesystemsresearchmethodsforgreatertransparency |