Data Privacy and Crowdsourcing [[electronic resource] ] : A Comparison of Selected Problems in China, Germany and the United States / / by Lars Hornuf, Sonja Mangold, Yayun Yang
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Autore: |
Hornuf Lars
|
| Titolo: |
Data Privacy and Crowdsourcing [[electronic resource] ] : A Comparison of Selected Problems in China, Germany and the United States / / by Lars Hornuf, Sonja Mangold, Yayun Yang
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Edizione: | 1st ed. 2023. |
| Descrizione fisica: | 1 online resource (163 pages) |
| Disciplina: | 332 |
| 658.15 | |
| Soggetto topico: | Financial engineering |
| Data protection | |
| Business information services | |
| Commercial law | |
| New business enterprises - Finance | |
| Financial Technology and Innovation | |
| Data and Information Security | |
| IT in Business | |
| Business Law | |
| Entrepreneurial Finance | |
| Altri autori: |
MangoldSonja
YangYayun
|
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Data Privacy and Crowdsourcing |
| ISBN: | 3-031-32064-6 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910735586703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Advanced Studies in Diginomics and Digitalization, . 2731-0485