| 000 | 02768nam a22004095i 4500 | ||
|---|---|---|---|
| 001 | 238679 | ||
| 003 | ES-VaUEC | ||
| 005 | 20240103143951.0 | ||
| 007 | cr nn 008mamaa | ||
| 006 | a||||fo|||| 00| 0 | ||
| 008 | 230727s2023 sz | s |||| 0|eng d | ||
| 020 | _a9783031320644 | ||
| 024 | 7 |
_a10.1007/978-3-031-32064-4 _2doi |
|
| 040 |
_aES-VaUEC _bspa _cES-VaUEC |
||
| 050 | 0 | 4 |
_aHG176.7 _b2024 |
| 100 | 1 |
_aHornuf, Lars. _eautor _0(orcid)0000-0002-0576-7759 _1https://orcid.org/0000-0002-0576-7759 _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 0 | 0 |
_aData Privacy and Crowdsourcing: _bA Comparison of Selected Problems in China, Germany and the United States _cby Lars Hornuf, Sonja Mangold, Yayun Yang |
| 250 | _a1st ed 2023 | ||
| 264 | 1 |
_aCham _c2023 _bSpringer International Publishing |
|
| 300 | 0 | 0 | _a1 recurso en línea |
| 336 |
_atexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 490 | 0 |
_aAdvanced Studies in Diginomics and Digitalization, _x2731-0485 |
|
| 505 | 0 | _aChapter 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. | |
| 506 | 0 | _aOpen Access | |
| 520 | _aThis 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. | ||
| 830 | 0 |
_aAdvanced Studies in Diginomics and Digitalization, _x2731-0485 |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-32064-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia) |
| 912 | _aZDB-2-BUM | ||
| 912 | _aZDB-2-SXBM | ||
| 912 | _aZDB-2-SOB | ||
| 942 |
_2lcc _cLE |
||
| 988 | _aSpringer_Business_2023 | ||
| 999 |
_c238679 _d238679 |
||