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

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Superior document:Advanced Studies in Diginomics and Digitalization Series
:
TeilnehmendeR:
Place / Publishing House:Cham : : Springer,, 2023.
©2023.
Year of Publication:2023
Edition:1st ed.
Language:English
Series:Advanced Studies in Diginomics and Digitalization Series
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Physical Description:1 online resource (163 pages)
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id 50030668293
ctrlnum (MiAaPQ)50030668293
(Au-PeEL)EBL30668293
(OCoLC)1392090667
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spelling Hornuf, Lars.
Data Privacy and Crowdsourcing : A Comparison of Selected Problems in China, Germany and the United States.
1st ed.
Cham : Springer, 2023.
©2023.
1 online resource (163 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Advanced Studies in Diginomics and Digitalization Series
Intro -- Foreword -- Funder Information -- Contents -- About the Authors -- List of Figures -- Chapter 1: Introduction -- References -- Chapter 2: Players in the Crowdsourcing Industry -- 2.1 Segments of the Crowd Industry -- 2.2 The Chinese, German, and U.S. Markets -- 2.3 General Market Trends -- References -- Chapter 3: Data Protection Law in Germany, the United States, and China -- 3.1 Data Privacy and Crowdsourcing in Germany: Legal Instruments, Aspects of Contract Law, Consumer Protection, and Competitio... -- 3.1.1 Legal Sources for Data Processing -- 3.1.2 Data Security: At the Interface Between Data Protection and IT Security Law -- 3.1.3 Protection of Personal and Sensitive Data -- 3.1.4 Particularities of Data Protection: Company Information, Consumer and Employee Data -- 3.1.5 Basic Principles of Data Processing -- 3.1.6 Pseudonymization and Anonymization as Data Protection Measures -- 3.1.7 Consent as the Central Legitimation of Data Processing -- 3.1.8 Algorithm-Based Decision-Making: Risks of Discrimination, Solution Approaches -- 3.1.9 Rights of Data Subjects -- 3.1.10 The Data Protection Impact Assessment: Self-Evaluation in the Case of High-Risk Data Processing -- 3.1.11 Internal and External Data Protection Controls -- 3.1.12 Sanctions -- 3.2 Data Privacy in Digital Business in the United States: Fragmented Rules, State Pioneers and the Prominent Role of the Fede... -- 3.2.1 Patchwork of Privacy Regulation -- 3.2.2 Data Security: Numerous Legal Sources -- 3.2.3 Protection of Personal and Sensitive Information: No Single Definition -- 3.2.4 Protection of Consumer and Employee Data -- 3.2.5 Main Principles of Data Processing: Sector-Specific and State-Specific Approaches -- 3.2.6 Anonymization and Pseudonymization -- 3.2.7 Consent for Data Processing: Limited Legal Requirements.
3.2.8 Regulation of Algorithmic Decision-Making: Steps and Gaps -- 3.2.9 Individual Rights: Scattered Rules -- 3.2.10 Requirements for Data Protection Risk Assessments -- 3.2.11 Internal and External Enforcement -- 3.2.12 Sanctions -- 3.3 Data Privacy and Crowdsourcing in China -- 3.3.1 Various Sources of Law for Data Processing: A Brief Overview -- 3.3.2 Data Security -- 3.3.3 Protection of Personal Identifiable Information and Sensitive Data -- 3.3.4 Particularities of Data Protection: Company, Consumer, and Employee Data -- 3.3.5 Basic Principles of Data Processing -- 3.3.6 Anonymization and de-Identification as Data Protection Instruments -- 3.3.7 Consent as the Standard for Legitimation of Data Processing -- 3.3.8 Automated Decision-Making -- 3.3.9 Rights of Data Subjects -- 3.3.10 Data Protection Impact Assessment -- 3.3.11 Internal and External Data Protection Supervision -- 3.3.12 Sanctions -- 3.4 Similarities and Differences in Regulatory Approaches -- 3.4.1 Particularities of Norm-Setting in the Field of Data Privacy -- 3.4.2 Data Security Standards -- 3.4.3 Protection of Personal and Sensitive Data -- 3.4.4 Collection of Company Information and Consumer and Employee Data in the GDPR Broadly -- 3.4.5 General Principles of Data Processing, Privacy by Design and by Default -- 3.4.6 Anonymization and Pseudonymization -- 3.4.7 Consent for Legitimizing Data Processing -- 3.4.8 Regulation of Algorithmic Decision-Making -- 3.4.9 Individual Rights -- 3.4.10 Data Protection Impact Assessment -- 3.4.11 Enforcement Mechanisms -- 3.5 Interim Result and the Aspect of Regulatory Competition -- References -- Chapter 4: Privacy Statements in China, Germany, and the United States -- 4.1 Processing of Data -- 4.2 Processing of Data by Third Parties -- References -- Chapter 5: Summary and Conclusion -- 5.1 Increasing Regulation and Regulatory Competition.
5.2 Processing of User Data -- 5.2.1 Privacy Statements as Main Source of Information -- 5.2.2 Processing of Crowdworkers ́Data -- 5.2.3 Collection of Sensitive Data -- 5.3 Processing of Data by Third Parties -- 5.3.1 Data Sharing -- 5.3.2 Use of Social Plugins and Web Analytics -- 5.3.3 Use of Cookies -- 5.3.4 Data Protection Efforts by Platforms and Outlook -- References -- Appendices -- A. Chinese Crowdsourcing Platforms -- A.1 Platforms with a Privacy Statement -- A.2 Platforms Without a Privacy Statement -- A.3 Platforms with No Website -- B. German Crowdsourcing Platforms -- B.1 Platforms with Privacy Statements -- C. U.S. Crowdsourcing Platforms -- C.1 Platforms with Privacy Statements -- C.2 Platforms Without a Privacy Statement -- C.3 Platforms with No Website.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Mangold, Sonja.
Yang, Yayun.
Print version: Hornuf, Lars Data Privacy and Crowdsourcing Cham : Springer,c2023 9783031320637
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=30668293 Click to View
language English
format eBook
author Hornuf, Lars.
spellingShingle Hornuf, Lars.
Data Privacy and Crowdsourcing : A Comparison of Selected Problems in China, Germany and the United States.
Advanced Studies in Diginomics and Digitalization Series
Intro -- Foreword -- Funder Information -- Contents -- About the Authors -- List of Figures -- Chapter 1: Introduction -- References -- Chapter 2: Players in the Crowdsourcing Industry -- 2.1 Segments of the Crowd Industry -- 2.2 The Chinese, German, and U.S. Markets -- 2.3 General Market Trends -- References -- Chapter 3: Data Protection Law in Germany, the United States, and China -- 3.1 Data Privacy and Crowdsourcing in Germany: Legal Instruments, Aspects of Contract Law, Consumer Protection, and Competitio... -- 3.1.1 Legal Sources for Data Processing -- 3.1.2 Data Security: At the Interface Between Data Protection and IT Security Law -- 3.1.3 Protection of Personal and Sensitive Data -- 3.1.4 Particularities of Data Protection: Company Information, Consumer and Employee Data -- 3.1.5 Basic Principles of Data Processing -- 3.1.6 Pseudonymization and Anonymization as Data Protection Measures -- 3.1.7 Consent as the Central Legitimation of Data Processing -- 3.1.8 Algorithm-Based Decision-Making: Risks of Discrimination, Solution Approaches -- 3.1.9 Rights of Data Subjects -- 3.1.10 The Data Protection Impact Assessment: Self-Evaluation in the Case of High-Risk Data Processing -- 3.1.11 Internal and External Data Protection Controls -- 3.1.12 Sanctions -- 3.2 Data Privacy in Digital Business in the United States: Fragmented Rules, State Pioneers and the Prominent Role of the Fede... -- 3.2.1 Patchwork of Privacy Regulation -- 3.2.2 Data Security: Numerous Legal Sources -- 3.2.3 Protection of Personal and Sensitive Information: No Single Definition -- 3.2.4 Protection of Consumer and Employee Data -- 3.2.5 Main Principles of Data Processing: Sector-Specific and State-Specific Approaches -- 3.2.6 Anonymization and Pseudonymization -- 3.2.7 Consent for Data Processing: Limited Legal Requirements.
3.2.8 Regulation of Algorithmic Decision-Making: Steps and Gaps -- 3.2.9 Individual Rights: Scattered Rules -- 3.2.10 Requirements for Data Protection Risk Assessments -- 3.2.11 Internal and External Enforcement -- 3.2.12 Sanctions -- 3.3 Data Privacy and Crowdsourcing in China -- 3.3.1 Various Sources of Law for Data Processing: A Brief Overview -- 3.3.2 Data Security -- 3.3.3 Protection of Personal Identifiable Information and Sensitive Data -- 3.3.4 Particularities of Data Protection: Company, Consumer, and Employee Data -- 3.3.5 Basic Principles of Data Processing -- 3.3.6 Anonymization and de-Identification as Data Protection Instruments -- 3.3.7 Consent as the Standard for Legitimation of Data Processing -- 3.3.8 Automated Decision-Making -- 3.3.9 Rights of Data Subjects -- 3.3.10 Data Protection Impact Assessment -- 3.3.11 Internal and External Data Protection Supervision -- 3.3.12 Sanctions -- 3.4 Similarities and Differences in Regulatory Approaches -- 3.4.1 Particularities of Norm-Setting in the Field of Data Privacy -- 3.4.2 Data Security Standards -- 3.4.3 Protection of Personal and Sensitive Data -- 3.4.4 Collection of Company Information and Consumer and Employee Data in the GDPR Broadly -- 3.4.5 General Principles of Data Processing, Privacy by Design and by Default -- 3.4.6 Anonymization and Pseudonymization -- 3.4.7 Consent for Legitimizing Data Processing -- 3.4.8 Regulation of Algorithmic Decision-Making -- 3.4.9 Individual Rights -- 3.4.10 Data Protection Impact Assessment -- 3.4.11 Enforcement Mechanisms -- 3.5 Interim Result and the Aspect of Regulatory Competition -- References -- Chapter 4: Privacy Statements in China, Germany, and the United States -- 4.1 Processing of Data -- 4.2 Processing of Data by Third Parties -- References -- Chapter 5: Summary and Conclusion -- 5.1 Increasing Regulation and Regulatory Competition.
5.2 Processing of User Data -- 5.2.1 Privacy Statements as Main Source of Information -- 5.2.2 Processing of Crowdworkers ́Data -- 5.2.3 Collection of Sensitive Data -- 5.3 Processing of Data by Third Parties -- 5.3.1 Data Sharing -- 5.3.2 Use of Social Plugins and Web Analytics -- 5.3.3 Use of Cookies -- 5.3.4 Data Protection Efforts by Platforms and Outlook -- References -- Appendices -- A. Chinese Crowdsourcing Platforms -- A.1 Platforms with a Privacy Statement -- A.2 Platforms Without a Privacy Statement -- A.3 Platforms with No Website -- B. German Crowdsourcing Platforms -- B.1 Platforms with Privacy Statements -- C. U.S. Crowdsourcing Platforms -- C.1 Platforms with Privacy Statements -- C.2 Platforms Without a Privacy Statement -- C.3 Platforms with No Website.
author_facet Hornuf, Lars.
Mangold, Sonja.
Yang, Yayun.
author_variant l h lh
author2 Mangold, Sonja.
Yang, Yayun.
author2_variant s m sm
y y yy
author2_role TeilnehmendeR
TeilnehmendeR
author_sort Hornuf, Lars.
title Data Privacy and Crowdsourcing : A Comparison of Selected Problems in China, Germany and the United States.
title_sub A Comparison of Selected Problems in China, Germany and the United States.
title_full Data Privacy and Crowdsourcing : A Comparison of Selected Problems in China, Germany and the United States.
title_fullStr Data Privacy and Crowdsourcing : A Comparison of Selected Problems in China, Germany and the United States.
title_full_unstemmed Data Privacy and Crowdsourcing : A Comparison of Selected Problems in China, Germany and the United States.
title_auth Data Privacy and Crowdsourcing : A Comparison of Selected Problems in China, Germany and the United States.
title_new Data Privacy and Crowdsourcing :
title_sort data privacy and crowdsourcing : a comparison of selected problems in china, germany and the united states.
series Advanced Studies in Diginomics and Digitalization Series
series2 Advanced Studies in Diginomics and Digitalization Series
publisher Springer,
publishDate 2023
physical 1 online resource (163 pages)
edition 1st ed.
contents Intro -- Foreword -- Funder Information -- Contents -- About the Authors -- List of Figures -- Chapter 1: Introduction -- References -- Chapter 2: Players in the Crowdsourcing Industry -- 2.1 Segments of the Crowd Industry -- 2.2 The Chinese, German, and U.S. Markets -- 2.3 General Market Trends -- References -- Chapter 3: Data Protection Law in Germany, the United States, and China -- 3.1 Data Privacy and Crowdsourcing in Germany: Legal Instruments, Aspects of Contract Law, Consumer Protection, and Competitio... -- 3.1.1 Legal Sources for Data Processing -- 3.1.2 Data Security: At the Interface Between Data Protection and IT Security Law -- 3.1.3 Protection of Personal and Sensitive Data -- 3.1.4 Particularities of Data Protection: Company Information, Consumer and Employee Data -- 3.1.5 Basic Principles of Data Processing -- 3.1.6 Pseudonymization and Anonymization as Data Protection Measures -- 3.1.7 Consent as the Central Legitimation of Data Processing -- 3.1.8 Algorithm-Based Decision-Making: Risks of Discrimination, Solution Approaches -- 3.1.9 Rights of Data Subjects -- 3.1.10 The Data Protection Impact Assessment: Self-Evaluation in the Case of High-Risk Data Processing -- 3.1.11 Internal and External Data Protection Controls -- 3.1.12 Sanctions -- 3.2 Data Privacy in Digital Business in the United States: Fragmented Rules, State Pioneers and the Prominent Role of the Fede... -- 3.2.1 Patchwork of Privacy Regulation -- 3.2.2 Data Security: Numerous Legal Sources -- 3.2.3 Protection of Personal and Sensitive Information: No Single Definition -- 3.2.4 Protection of Consumer and Employee Data -- 3.2.5 Main Principles of Data Processing: Sector-Specific and State-Specific Approaches -- 3.2.6 Anonymization and Pseudonymization -- 3.2.7 Consent for Data Processing: Limited Legal Requirements.
3.2.8 Regulation of Algorithmic Decision-Making: Steps and Gaps -- 3.2.9 Individual Rights: Scattered Rules -- 3.2.10 Requirements for Data Protection Risk Assessments -- 3.2.11 Internal and External Enforcement -- 3.2.12 Sanctions -- 3.3 Data Privacy and Crowdsourcing in China -- 3.3.1 Various Sources of Law for Data Processing: A Brief Overview -- 3.3.2 Data Security -- 3.3.3 Protection of Personal Identifiable Information and Sensitive Data -- 3.3.4 Particularities of Data Protection: Company, Consumer, and Employee Data -- 3.3.5 Basic Principles of Data Processing -- 3.3.6 Anonymization and de-Identification as Data Protection Instruments -- 3.3.7 Consent as the Standard for Legitimation of Data Processing -- 3.3.8 Automated Decision-Making -- 3.3.9 Rights of Data Subjects -- 3.3.10 Data Protection Impact Assessment -- 3.3.11 Internal and External Data Protection Supervision -- 3.3.12 Sanctions -- 3.4 Similarities and Differences in Regulatory Approaches -- 3.4.1 Particularities of Norm-Setting in the Field of Data Privacy -- 3.4.2 Data Security Standards -- 3.4.3 Protection of Personal and Sensitive Data -- 3.4.4 Collection of Company Information and Consumer and Employee Data in the GDPR Broadly -- 3.4.5 General Principles of Data Processing, Privacy by Design and by Default -- 3.4.6 Anonymization and Pseudonymization -- 3.4.7 Consent for Legitimizing Data Processing -- 3.4.8 Regulation of Algorithmic Decision-Making -- 3.4.9 Individual Rights -- 3.4.10 Data Protection Impact Assessment -- 3.4.11 Enforcement Mechanisms -- 3.5 Interim Result and the Aspect of Regulatory Competition -- References -- Chapter 4: Privacy Statements in China, Germany, and the United States -- 4.1 Processing of Data -- 4.2 Processing of Data by Third Parties -- References -- Chapter 5: Summary and Conclusion -- 5.1 Increasing Regulation and Regulatory Competition.
5.2 Processing of User Data -- 5.2.1 Privacy Statements as Main Source of Information -- 5.2.2 Processing of Crowdworkers ́Data -- 5.2.3 Collection of Sensitive Data -- 5.3 Processing of Data by Third Parties -- 5.3.1 Data Sharing -- 5.3.2 Use of Social Plugins and Web Analytics -- 5.3.3 Use of Cookies -- 5.3.4 Data Protection Efforts by Platforms and Outlook -- References -- Appendices -- A. Chinese Crowdsourcing Platforms -- A.1 Platforms with a Privacy Statement -- A.2 Platforms Without a Privacy Statement -- A.3 Platforms with No Website -- B. German Crowdsourcing Platforms -- B.1 Platforms with Privacy Statements -- C. U.S. Crowdsourcing Platforms -- C.1 Platforms with Privacy Statements -- C.2 Platforms Without a Privacy Statement -- C.3 Platforms with No Website.
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9783031320637
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