國立高雄大學圖資館 |

Data privacy and crowdsourcinga comparison of selected problems in China, Germany and the United States /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data privacy and crowdsourcingby Lars Hornuf, Sonja Mangold, Yayun Yang.
Reminder of title:	a comparison of selected problems in China, Germany and the United States /
Author:	Hornuf, Lars.
other author:	Mangold, Sonja.
Published:	Cham :Springer Nature Switzerland :2023.
Description:	xix, 149 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data protection.
Online resource:	https://doi.org/10.1007/978-3-031-32064-4
ISBN:	9783031320644$q(electronic bk.)

Data privacy and crowdsourcinga comparison of selected problems in China, Germany and the United States /
Hornuf, Lars.

Data privacy and crowdsourcinga comparison of selected problems in China, Germany and the United States /[electronic resource] :by Lars Hornuf, Sonja Mangold, Yayun Yang. - Cham :Springer Nature Switzerland :2023. - xix, 149 p. :ill. (some col.), digital ;24 cm. - Advanced studies in diginomics and digitalization,2731-0485. - Advanced studies in diginomics and digitalization..

Chapter 1. Introduction -- Chapter 2. Players in the Crowdsourcing Industry -- Chapter 3. Data Protection Law in Germany, the United States, and China -- Chapter 4. Privacy Statements in China, Germany, and the U.S. -- Chapter 5. Summary and Conclusion.

Open access.

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.

ISBN: 9783031320644$q(electronic bk.)

Standard No.: 10.1007/978-3-031-32064-4doiSubjects--Topical Terms:

202312
Data protection.

LC Class. No.: HF5548.37

Dewey Class. No.: 005.8

Data privacy and crowdsourcinga comparison of selected problems in China, Germany and the United States /
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