978-3-031-32064-4.pdf

This open access book describes the most important legal sources and principles of data privacy and data protection in China, Germany and the United States. The authors collected privacy statements from more than 400 crowdsourcing platforms, which allowed them to empirically evaluate their data priv...

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Γλώσσα:English
Έκδοση: Springer Nature 2023
Διαθέσιμο Online:https://link.springer.com/978-3-031-32064-4
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spelling oapen-20.500.12657-753882023-08-15T02:31:13Z Data Privacy and Crowdsourcing Hornuf, Lars Mangold, Sonja Yang, Yayun Data Privacy Data Regulation Digitalization Data Protection Crowdfounding Platform Economics Crowdsourcing bic Book Industry Communication::K Economics, finance, business & management::KF Finance & accounting::KFF Finance bic Book Industry Communication::U Computing & information technology::UR Computer security bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJQ Business mathematics & systems bic Book Industry Communication::L Law::LN Laws of Specific jurisdictions::LNC Company, commercial & competition law bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJH Entrepreneurship This open access book describes the most important legal sources and principles of data privacy and data protection in China, Germany and the United States. The authors collected privacy statements from more than 400 crowdsourcing platforms, which allowed them to empirically evaluate their data privacy and data protection practices. The book compares the practices in the three countries and develops empirically-grounded policy recommendations. A profound analysis on workers´ privacy in new forms of work in China, Germany, and the United States. Prof. Dr. Wolfgang Däubler, University of Bremen This is a comprehensive and timely book for legal and business scholars as well as practitioners, especially with the increasingly important role of raw data in machine learning and artificial intelligence. Professor Mingfeng Lin, Georgia Institute of Technology 2023-08-14T15:55:17Z 2023-08-14T15:55:17Z 2023 book ONIX_20230814_9783031320644_19 9783031320644 9783031320637 https://library.oapen.org/handle/20.500.12657/75388 eng Advanced Studies in Diginomics and Digitalization application/pdf n/a 978-3-031-32064-4.pdf https://link.springer.com/978-3-031-32064-4 Springer Nature Springer Nature Switzerland 10.1007/978-3-031-32064-4 10.1007/978-3-031-32064-4 6c6992af-b843-4f46-859c-f6e9998e40d5 fa82c4a0-768c-48a7-b04b-bc188a80ef2e 9783031320644 9783031320637 Springer Nature Switzerland 149 Cham [...] open access
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description This open access book describes the most important legal sources and principles of data privacy and data protection in China, Germany and the United States. The authors collected privacy statements from more than 400 crowdsourcing platforms, which allowed them to empirically evaluate their data privacy and data protection practices. The book compares the practices in the three countries and develops empirically-grounded policy recommendations. A profound analysis on workers´ privacy in new forms of work in China, Germany, and the United States. Prof. Dr. Wolfgang Däubler, University of Bremen This is a comprehensive and timely book for legal and business scholars as well as practitioners, especially with the increasingly important role of raw data in machine learning and artificial intelligence. Professor Mingfeng Lin, Georgia Institute of Technology
title 978-3-031-32064-4.pdf
spellingShingle 978-3-031-32064-4.pdf
title_short 978-3-031-32064-4.pdf
title_full 978-3-031-32064-4.pdf
title_fullStr 978-3-031-32064-4.pdf
title_full_unstemmed 978-3-031-32064-4.pdf
title_sort 978-3-031-32064-4.pdf
publisher Springer Nature
publishDate 2023
url https://link.springer.com/978-3-031-32064-4
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