Information Advantage of Platforms Over Regulators

Introduction

Information advantage of platforms over regulators refers to the structural situation in which large digital platforms possess substantially more detailed, real-time, granular and technically sophisticated information about markets, users, competitors, algorithms and transactions than competition authorities or other regulators.

This creates an information asymmetry between the regulated platform and the regulator. A platform may know, almost instantaneously:

• which users are switching to competitors;
• how algorithms rank or suppress content and products;
• how prices are personalized;
• which sellers are dependent upon the platform;
• what data is collected and combined;
• how recommendation systems affect demand;
• which competitors are emerging;
• how changes to APIs or interfaces affect rivals;
• how internal experiments alter consumer behaviour; and
• how different markets within an ecosystem interact.

Competition authorities, by contrast, frequently obtain information only through investigations, document requests, interviews, dawn raids, data analysis, or cooperation with other authorities.

The problem becomes particularly significant where algorithmic decision-making, AI, behavioural data and multi-sided platforms are involved.

1. Nature of the Information Advantage

The information advantage has several dimensions.

A. Real-time information advantage

Platforms can observe transactions and user behaviour continuously. Regulators normally receive information retrospectively.

For example, an e-commerce platform may know in real time:

consumer search → product ranking → click → purchase → seller response → repeat purchase.

A regulator may see only aggregate market-share information months later.

B. Algorithmic information advantage

Platforms generally possess the source code, model architecture, training data, experimentation results and internal documentation necessary to understand how algorithms operate.

Regulators may see only the output of an algorithm.

This creates an important asymmetry:

Platform: knows why the algorithm produced a result.
Regulator: sees that the result occurred.

C. Behavioural-data advantage

Platforms can possess extensive information about:

• search histories;
• browsing behaviour;
• purchases;
• engagement;
• location;
• device characteristics;
• advertising responses;
• seller performance;
• user switching;
• interactions between users and content.

Such information can allow the platform to identify competitive vulnerabilities that regulators cannot easily observe.

D. Cross-market information advantage

Large platforms operate ecosystems covering several interconnected markets.

A platform may therefore understand relationships between:

search → advertising → marketplace → payments → logistics → cloud/AI infrastructure.

A regulator traditionally examines markets individually, making ecosystem-wide information more difficult to reconstruct.

2. Why the Information Advantage Creates Competition Concerns

Information asymmetry is not automatically an antitrust violation.

The competition problem arises when superior information enables a platform to exclude rivals, exploit dependent businesses, manipulate market conditions or frustrate effective regulation.

Several mechanisms are particularly important.

2.1 Information-enabled self-preferencing

A platform may possess extensive information about rival sellers while simultaneously operating its own downstream products.

It can potentially use information generated by third parties to improve its competing service.

The competitive concern is therefore not simply:

"The platform has data."

It is:

"The platform has commercially valuable information generated by competitors and can use it while those competitors cannot access equivalent information."

3. Information Advantage and Data Exploitation

Data may function as a strategic competitive input.

Suppose thousands of independent merchants sell products through a platform. The platform can observe:

• sales volumes;
• conversion rates;
• consumer preferences;
• price elasticity;
• product performance;
• inventory;
• customer complaints.

The platform may consequently identify successful products before competitors do.

If the platform launches its own competing product using insights derived from this information, the issue may resemble leveraging and exploitation of informational asymmetry.

This concern was central to European scrutiny of Amazon's use of marketplace seller data.

4. Information Advantage and Algorithmic Opacity

Algorithms create a second layer of asymmetry.

A regulator may know that:

Platform X consistently ranks its own products above competing products.

But determining why this happens can require access to:

• ranking variables;
• training datasets;
• model weights;
• testing results;
• internal experiments;
• objective functions;
• product-management documents.

Consequently, traditional evidence-gathering may be inadequate.

The regulator may have to reconstruct the algorithm's operation through output-based testing.

5. Information Advantage and Regulatory Capture

Information asymmetry can also create a subtler institutional problem.

Regulators may become dependent upon the platform for:

• technical explanations;
• market data;
• algorithmic documentation;
• system architecture;
• definitions of relevant metrics;
• explanations of user behaviour.

This can produce epistemic dependency.

The danger is not necessarily conventional corruption or political capture. Rather, the regulator may gradually become dependent on the regulated entity's own description of how its market works.

6. Information Advantage and Burden of Proof

Information asymmetry becomes particularly important where the legal burden requires the authority to demonstrate:

• market power;
• foreclosure;
• anti-competitive effects;
• causation;
• discriminatory treatment;
• exclusionary intent or effect;
• consumer harm.

The platform may possess the evidence necessary to establish or refute these propositions.

Thus, information advantage can indirectly affect the practical burden of proof.

This explains why modern competition regimes increasingly rely upon:

• compulsory information requests;
• forensic data analysis;
• internal communications;
• algorithmic audits;
• access to datasets;
• monitoring trustees;
• data-access remedies;
• continuing reporting obligations.

7. Six Important Case Laws

1. United States v. Microsoft Corp. (2001)

The Microsoft litigation is a foundational case concerning information and technological control in digital markets.

Microsoft possessed substantial knowledge concerning:

• operating-system architecture;
• software interfaces;
• developer requirements;
• distribution channels;
• browser integration.

Its control over Windows allowed it to influence the competitive environment for web browsers.

Principle

The case demonstrates that control over technical architecture can create informational and strategic advantages over competitors.

It is relevant to modern platforms because dominant digital ecosystems can similarly control the interfaces through which competitors reach users.

Relevance

The Microsoft case supports the proposition that information advantage becomes competition-relevant when combined with control over an essential technological gateway.

2. Google Search (Google Shopping) – European Commission, 2017

The European Commission found Google liable for favouring its own comparison-shopping service in search results.

Google possessed extraordinarily extensive information concerning:

• search queries;
• user behaviour;
• ranking;
• traffic;
• competing websites;
• search relevance.

The case demonstrates the competitive significance of a platform controlling both:

1. the information infrastructure; and
2. the mechanism through which competitors obtain consumer attention.

Principle

A platform may use its position as an information intermediary to affect downstream competitive opportunities.

Relevance

The case is highly relevant to algorithmic platforms because regulators may observe discriminatory outcomes without possessing the platform's complete internal algorithmic knowledge.

3. Amazon Marketplace – European Commission

The European Commission's investigation into Amazon examined the use of non-public marketplace seller data.

Amazon could observe extensive information generated by independent sellers operating on its marketplace.

The competitive concern was that Amazon could potentially use such information in competing with those sellers.

Principle

Information generated by businesses dependent upon a platform can become a strategically valuable competitive resource for the platform itself.

Relevance

This is perhaps one of the clearest examples of platform informational superiority over ecosystem participants.

It illustrates the concern that a platform can simultaneously act as:

marketplace operator + data collector + competitor.

4. Google Android – European Commission, 2018

The Android case concerned Google's conduct involving the Android ecosystem, including tying and restrictions affecting competing services.

Google possessed extensive information regarding:

• Android users;
• app distribution;
• device manufacturers;
• application usage;
• search behaviour;
• ecosystem participation.

Principle

Control over a digital ecosystem can give a platform informational and strategic advantages that reinforce its position across adjacent markets.

Relevance

The case demonstrates that information advantage often operates together with ecosystem control, defaults, distribution and interoperability.

5. Facebook/Meta – German Federal Cartel Office (Bundeskartellamt), 2019

The Bundeskartellamt's Facebook decision is especially important for understanding the relationship between data collection and market power.

The authority examined Facebook's ability to combine data from:

• Facebook;
• other Facebook-owned services; and
• third-party websites and applications.

The case linked data collection practices with Facebook's strong position in the social-networking market.

Principle

Data advantages can contribute to a platform's competitive strength, particularly where the platform can combine datasets unavailable to competitors.

Relevance

The decision illustrates that competition analysis may need to consider data accumulation as a source of market power, rather than treating data merely as a privacy issue.

6. Meta Platforms Inc. v Bundeskartellamt (CJEU, 2023)

The Court of Justice's decision concerning Meta and the Bundeskartellamt further developed the relationship between competition law and data processing.

The case addressed the interaction between:

• competition law;
• personal data;
• consent;
• data combination; and
• a dominant platform's conduct.

The Court recognised that competition authorities may need to consider the compatibility of data-processing practices with other legal regimes when assessing abuse, while respecting the competence of the relevant regulatory authorities.

Principle

Digital competition cannot always be analysed by separating market power, information accumulation and data governance into isolated compartments.

Relevance

This case is particularly important for modern regulatory information asymmetry because a platform's informational advantage can arise through the aggregation of data across services.

8. Additional Important Authorities

Several other authorities reinforce the same conceptual framework.

Intel

Intel Corp. v European Commission demonstrates the importance of economic evidence and effects analysis in complex abuse cases.

It is relevant because sophisticated digital-platform investigations increasingly require regulators to obtain and analyse substantial internal commercial information rather than relying solely on formal contractual arrangements.

Qualcomm

The Qualcomm litigation illustrates the evidentiary complexity of demonstrating exclusionary effects in technologically sophisticated markets.

Google AdSense

The European Commission's Google AdSense decision demonstrates how information and control over advertising intermediation can influence downstream competition.

9. Platform Information Advantage vs Regulatory Information

This asymmetry creates a fundamental regulatory problem:

the entity being investigated may understand the market better than the institution investigating it.

10. Information Advantage and AI Platforms

The issue becomes even more significant with generative AI and autonomous systems.

A large AI platform may possess information concerning:

• model performance;
• user prompts;
• inference patterns;
• API demand;
• latency;
• compute allocation;
• model switching;
• safety interventions;
• fine-tuning;
• developer dependence;
• training-data composition.

Regulators may have difficulty independently determining whether a particular conduct is:

• technical optimisation;
• legitimate product design;
• discriminatory access;
• exclusionary conduct;
• algorithmic coordination; or
• strategic foreclosure.

Therefore, AI governance increasingly requires institutional technical capacity rather than merely traditional legal expertise.

11. Information Advantage and Algorithmic Collusion

A further concern arises when multiple firms use sophisticated pricing algorithms.

A platform may know:

• competitors' prices;
• demand conditions;
• inventory;
• consumer responses;
• market elasticity.

If algorithms automatically react to each other's behaviour, competition authorities may face difficulty distinguishing:

independent algorithmic optimisation

from

algorithmically facilitated coordination.

The platform may possess much more evidence about how its system operates than the regulator.

This makes access to algorithmic logs and historical decision data particularly important.

12. Information Advantage and Regulatory Timing

Information asymmetry can also create a time advantage.

Platforms can modify:

• algorithms;
• ranking systems;
• interfaces;
• contractual terms;
• APIs;
• pricing;
• recommendation systems

within hours or days.

Competition proceedings may take months or years.

Consequently, by the time a regulator establishes the precise mechanism of harm, the platform may have:

• changed the algorithm;
• altered the product;
• shifted the market;
• acquired competitors;
• changed contractual arrangements.

This produces a potential enforcement lag problem.

13. Remedies for the Information Asymmetry

Competition authorities can address the problem through several mechanisms.

A. Continuous reporting

Systemically important platforms may be required to provide regular information concerning:

• algorithmic changes;
• market shares;
• access conditions;
• ranking modifications;
• interoperability;
• complaints.

B. Data-access remedies

Authorities can require controlled access to relevant datasets so that competitors or regulators can assess competitive conditions.

C. Algorithmic auditing

Independent technical experts can examine algorithms, subject to confidentiality protections.

D. Audit logs

Platforms can be required to preserve records showing:

• algorithmic changes;
• model versions;
• decision criteria;
• experiments;
• testing outcomes.

E. Confidentiality rings

Sensitive platform information can be shared with approved lawyers and economists without publicly disclosing trade secrets.

F. Monitoring trustees

An independent monitor can supervise compliance with behavioural remedies.

G. Reversal of informational asymmetry

The strongest approach is to require platforms to provide regulators with structured, machine-readable and continuously updated information, rather than waiting for ad hoc investigations.

14. Competition-Law Significance

The central competition-law question is not simply:

Does the platform have more information?

Rather:

Does the platform's informational superiority reinforce market power, create barriers to entry, facilitate exclusion, enable discriminatory conduct, or prevent regulators from effectively detecting and remedying anticompetitive behaviour?

This distinction is critical.

Information itself is generally not unlawful. Its competitive significance depends upon:

1. what information is possessed;
2. how it was obtained;
3. whether rivals can obtain equivalent information;
4. whether the platform competes with the entities generating the information;
5. whether the information is used to disadvantage competitors;
6. whether the information advantage reinforces market power; and
7. whether the resulting conduct produces foreclosure or consumer harm.

15. Emerging Doctrine: From Market Power to Knowledge Power

Traditional competition law focuses heavily on market power.

Digital-platform regulation increasingly requires consideration of another concept:

Knowledge power

Knowledge power exists where a platform has superior ability to observe and predict:

• market behaviour;
• consumer preferences;
• competitor performance;
• supply conditions;
• technological developments.

This can create a feedback loop:

More users → more data → better predictions → better service → more users → more data.

The resulting advantage can become self-reinforcing.

Conclusion

Information advantage of platforms over regulators is an increasingly important structural problem in digital competition law.

Cases such as Microsoft, Google Shopping, Amazon Marketplace, Google Android, Facebook/Bundeskartellamt and Meta v Bundeskartellamt demonstrate different dimensions of the broader problem: technical control, algorithmic ranking, seller data, ecosystem information, data aggregation and the interaction between competition law and data governance.

The fundamental difficulty is that digital platforms can possess the evidence necessary to understand their own competitive effects before regulators even know what questions to ask.

Accordingly, effective digital competition enforcement requires a shift from purely retrospective investigation toward continuous information access, algorithmic transparency, independent auditing, data governance, technical expertise and proactive monitoring.

In modern platform markets, therefore, control over information can function as a source of economic power, while control over information about the platform itself can become a source of regulatory power.