Algorithmic Competition Violations in Digital Markets
Introduction
As digital platforms increasingly rely on algorithms to optimize operations and pricing, competition authorities worldwide have turned their attention to potential anticompetitive effects of algorithmic systems.
Types of Algorithmic Violations
Algorithmic Collusion
Algorithms can facilitate price coordination without explicit human agreement, raising novel questions about liability and intent in competition law.
Self-Preferencing
Platform operators using algorithms to favor their own products or services over competitors on the same platform.
Discriminatory Pricing
Algorithms that engage in price discrimination based on user data, potentially harming consumer welfare.
Turkish Cases
Trendyol Investigation
The Turkish Competition Authority examined Trendyol's algorithmic practices, focusing on potential self-preferencing in search rankings and featured listings.
Hepsiburada Proceedings
Similar scrutiny was applied to Hepsiburada's platform algorithms, with attention to the treatment of third-party sellers versus the platform's own retail operations.
European Precedents
Eturas Decision
The CJEU's Eturas judgment established that automated system communications can constitute evidence of concerted practice, even without direct contact between competitors.
CMA Investigations
The UK Competition and Markets Authority has been particularly active in examining algorithmic pricing in sectors including hotel booking and insurance.
Enforcement Challenges
- Proving intent when algorithms operate autonomously
- Understanding complex algorithmic systems
- Designing effective remedies for algorithmic harms
*This publication is prepared solely for informational purposes and does not constitute legal advice.