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Kirjailija

Yayun Yang

Kirjat ja teokset yhdessä paikassa: 2 kirjaa, julkaisuja vuodelta 2023, suosituimpiin kuuluu Data Privacy and Crowdsourcing. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

2 kirjaa

Data Privacy and Crowdsourcing

Data Privacy and Crowdsourcing

Lars Hornuf; Sonja Mangold; Yayun Yang

Springer International Publishing AG
2023
nidottu
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 BremenThis 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
Data Privacy and Crowdsourcing

Data Privacy and Crowdsourcing

Lars Hornuf; Sonja Mangold; Yayun Yang

Springer International Publishing AG
2023
sidottu
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 BremenThis 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