Data Privacy and Crowdsourcing A Comparison of Selected Problems in China, Germany and the United States

By:

Hornuf, Lars [auth]

Contributor(s):

Material type: Text

TextLanguage: English Series: Publication details: Cham Springer Nature 2023Description: 1 electronic resource (149 p.)Content type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

978-3-031-32064-4
9783031320637
9783031320644

Subject(s):

Online resources:

Summary: 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 workersþ privacy in new forms of work in China, Germany, and the United States. Prof. Dr. Wolfgang Dũbler, 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

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Holdings
Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books Open Access			Available

Open Access Unrestricted online access star

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 workersþ privacy in new forms of work in China, Germany, and the United States. Prof. Dr. Wolfgang Dũbler, 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