Coherence between data protection and competition law in digital markets /
'Coherence between Data Protection and Competition Law in Digital Markets' offers a blueprint for a more synergetic and mutually reinforcing approach towards data protection and competition law, anchored in the theory of 'sectional coherence.'
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| Format: | eBook |
| Language: | English |
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Oxford ; New York, NY :
Oxford University Press,
2023.
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| Edition: | First edition. |
| Series: | Oxford data protection and privacy law.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Cover
- Series
- Coherence between Data Protection and Competition Law in Digital Markets
- Copyright
- Contents
- Table of Cases
- Table of Legislation
- List of Abbreviations
- Introduction
- A. Entanglements between data protection and competition law in digital markets
- B. A blueprint for a coherent future
- 1. An Overview of EU Data Protection and Competition Law
- A. Introduction
- B. A glimpse into the evolution of data protection and competition law
- 1. The gradual emergence of data protection law in Europe
- 2. Competition law as a central pillar of European integration
- C. The fundamental rationale and goals
- 1. The bifurcated objective in data protection law
- 2. The multiplicity of objectives in competition law
- D. The key features and concepts
- 1. Data protection law
- 1.1 Selected new features of the GDPR
- 1.2 GDPR's material and territorial scope
- 1.3 The obligations of data controllers and the rights of data subjects
- 1.4 Institutions and enforcement
- 2. Competition law
- 2.1 Abuse of a dominant position
- 2.2 Merger control
- E. A comparative summary
- 2. Common Objectives and the Triple Challenge
- A. Introduction
- B. Common objectives
- 1. Protecting individual welfare
- 2. Strengthening individual sovereignty
- 3. Ensuring fairness
- 4. Mitigating power asymmetries
- 5. Improving transparency and mitigating information asymmetries
- C. The triple challenge
- 1. 'Datafication' of the economy and society
- 1.1 The race for a data advantage
- 1.1.1 Data tracking
- 1.1.2 Inference analytics
- 1.2 The ubiquity of data-based and data-supported business models
- 1.2.1 Personalized advertising
- 1.2.2 Personalized online content and experience
- 1.3 Opacity and lack of transparency
- 2. The lack of competitive dynamism
- 2.1 Concentration of power and wealth.
- 2.2 Features and factors driving concentration
- 3. Technological innovations and new ways of interacting with technologies
- 3.1 Internet of Things
- 3.2 Cloud computing
- 3.3 Blockchain
- 3.4 Metaverse
- D. Conclusions
- 3. Mapping the Interactions: Status Quo
- A. Introduction
- B. Data protection-agnostic competition law
- 1. Understanding the interactions: the extensive global policy discourse
- 2. Testing competition law boundaries through enforcement
- 2.1 The initial silo approach
- 2.2 Continued reluctance in merger cases
- 2.2.1 Facebook/WhatsApp
- 2.2.2 Microsoft/LinkedIn
- 2.2.3 Google/Fitbit
- 2.2.4 Meta/Giphy
- 2.3 Experimentation in abuse of dominance and monopolization cases
- 2.3.1 Data protection and exploitative abuses
- 2.3.2 Data protection and exclusionary abuses
- 2.3.3 Data protection-washing as an emerging concern
- 3. New policy and regulatory initiatives
- 3.1 Abuse of a dominant position: between legal updates and soft law measures
- 3.2 Merger control: the focus on jurisdictional aspects
- 3.3 Ex ante instruments complementing competition law
- 4. Preliminary conclusions
- C. Competition-agnostic data protection law
- 1. The lack of effective enforcement
- 1.1 Effective data protection enforcement as a precondition for well-functioning competition
- 1.2 The challenge of the one-stop-shop mechanism
- 1.3 Data subjects' access to justice: a legal limbo
- 2. The fragmentation of the data protection landscape
- 3. Data protection law provisions that impede competition
- 4. Data protection law provisions that (allegedly) support competition
- 5. Preliminary conclusions
- D. The lack of institutional bridges
- 1. Institutional reforms in the policy discourse
- 2. Institutional initiatives
- E. Conclusions
- 4. Sectional Coherence as a New Paradigm
- A. Introduction.
- B. Coherence in legal theory
- 1. Definition of coherence
- 2. Horizontal dimension of coherence
- 2.1 Global and local coherence
- 2.2 Sectional coherence as a new dimension
- 3. The normative force of coherence
- 3.1 Formal and moral significance of coherence
- 3.2 Maximum rational acceptability of coherence-based interpretations
- C. Coherence in EU law
- D. Conclusions
- 5. A Competition Law Perspective on Sectional Coherence
- A. Introduction
- B. Data power
- 1. Data power as a sub-category of market power
- 2. A taxonomy of data power
- 2.1 Economic data power
- 2.2 Political data power
- 2.3 Individual data power
- 3. Assessing data power in digital markets
- C. Abuse of a dominant position
- 1. Theories of harm
- 1.1 Exploitative abuses and data protection
- 1.1.1 Unfair 'personal data trading conditions'
- 1.1.2 Unfair 'personal data prices'
- 1.1.3 Price discrimination as another type of exploitation
- 1.2 Exclusionary abuses and data protection
- 1.2.1 Tying
- 1.2.2 Refusals to deal
- 1.2.3 Other types of exclusion
- 2. Justifications
- 2.1 An objective justification defence
- 2.2 Data protection as an objective justification
- 3. Remedies
- 3.1 Behavioural remedies
- 3.1.1 Supply side data remedies
- 3.1.2 Demand side data remedies
- 3.1.3 Institutional and other considerations
- 3.2 Structural remedies
- D. Merger control
- 1. Theories of harm
- 1.1 Theories of harm based on a data advantage
- 1.2 Theories of harm based on data protection
- 1.2.1 Data protection as a dimension of competition
- 1.2.2 Data protection as a stand-alone consideration
- 1.3 A stricter approach to conglomerate mergers
- 2. Justifications
- 2.1 An efficiency defence in the area of merger control
- 2.2 Data protection as an efficiency defence
- 3. Remedies
- 3.1 Structural remedies
- 3.2 Behavioural remedies.
- E. Conclusions
- 6. A Data Protection Law Perspective on Sectional Coherence
- A. Introduction
- B. Accounting for market power in data protection assessments
- 1. The risk-based approach: defining the scale of obligations
- 1.1 From reckoning with size to reckoning with risk
- 1.2 Approximating the concepts of risk and power
- 2. Balancing: measuring the scope of interference
- 2.1 Balancing and data protection legal bases
- 2.2 Legitimate interest
- 2.3 Consent
- 2.3.1 Consent as the condition for a service
- 2.3.2 The conditionality is not present in the context of consent
- C. Stimulating competition on data protection: beyond individual empowerment
- 1. The empowerment ideal
- 2. Beyond individual empowerment: stimulating competition 'to the top'?
- 2.1 The weakness of the individualistic dimension of data protection
- 2.1.1 The right to explanation as an illustration
- 2.1.2 A critical perspective
- 2.2 The promise of fostering the collective dimension of data protection
- D. Limiting unintended competition repercussions
- E. Conclusions
- 7. The Big Picture
- A. Introduction
- B. Conceptual implications
- C. Practical implications
- 1. Corresponding legal approaches
- 2. Complementary legal approaches
- D. Constitutional implications
- E. Institutional implications
- 1. Conceptualizing cooperative enforcement
- 2. Mitigating risks carried by multifactored missions
- 1.1 The problem with expanded prerogatives
- 1.2 Mitigation strategies
- F. Implications for other jurisdictions
- G. Conclusions
- Final Reflections
- Bibliography
- Index.