Influencer Economy Platform Dependency Structures

Introduction

The influencer economy consists of digital platforms, influencers/content creators, advertisers, agencies, brands, payment providers, analytics companies and audiences. Platforms such as social-media, video-sharing and livestreaming services increasingly determine who can reach an audience, how content is monetised, what data is available, and the commercial terms on which creators operate.

From a competition-law perspective, the central issue is platform dependency. An influencer may technically be free to use multiple platforms, yet economically depend upon one platform because it controls audience access, recommendation algorithms, monetisation, creator tools, data, advertising demand or reputation.

The concern therefore extends beyond traditional price competition. A platform can exercise market power by controlling the creator's access to attention and monetisation infrastructure.

1. Meaning of Platform Dependency in the Influencer Economy

Platform dependency arises where an influencer's ability to earn income or maintain audience reach becomes substantially dependent upon a particular platform.

A simplified structure is:

Influencer → Platform → Algorithm/Distribution → Audience → Advertising/Subscriptions → Revenue

The platform can control several stages simultaneously:

1. account registration;
2. content distribution;
3. recommendation;
4. search visibility;
5. follower communication;
6. advertising access;
7. subscription tools;
8. tipping and donations;
9. creator analytics;
10. content moderation;
11. verification;
12. payment processing; and
13. portability of audience relationships.

The more functions controlled by one platform, the greater the possibility of economic dependency.

2. Sources of Influencer Platform Dependency

A. Algorithmic Dependency

Influencers often depend upon recommendation algorithms rather than merely their existing follower base.

A change in:

• ranking;
• recommendation;
• search;
• engagement weighting;
• video length preferences;
• advertising eligibility; or
• content classification

may substantially change an influencer's income.

This creates a potential competition concern where a dominant platform can algorithmically favour its own commercial interests or disadvantage competing services.

B. Audience Lock-In

An influencer's followers are valuable because they represent accumulated attention.

However, the influencer generally does not own a portable database containing:

• follower identities;
• email addresses;
• engagement histories;
• recommendation profiles;
• behavioural information; or
• complete audience analytics.

Consequently, leaving the platform may mean losing access to the audience.

This produces audience-side switching costs.

C. Monetisation Dependency

Platforms increasingly combine distribution and monetisation.

An influencer may receive revenue through:

• advertising;
• subscriptions;
• memberships;
• virtual gifts;
• affiliate systems;
• sponsorship marketplaces;
• creator funds; and
• platform-based commerce.

If the platform simultaneously controls audience distribution and monetisation, an influencer can become dependent on the platform's internal economic ecosystem.

D. Data Dependency

Influencers require data to understand:

• audience demographics;
• engagement;
• conversion;
• geographic reach;
• viewing patterns;
• advertising performance; and
• content effectiveness.

A platform possessing superior audience data may provide only limited analytics to creators.

This can create informational asymmetry.

3. Platform Dependency and Market Power

Dependency becomes a competition-law issue when it is connected to substantial market power.

A competition authority would normally consider:

Relevant market

Possible markets include:

• social-media services;
• video-sharing services;
• influencer advertising;
• creator monetisation services;
• digital advertising;
• livestreaming;
• creator-management services; or
• audience-distribution infrastructure.

The market should not automatically be defined as simply the "influencer market".

4. Multi-Sided Market Characteristics

Influencer platforms operate as multi-sided markets.

They connect:

Creators ↔ Audiences ↔ Advertisers ↔ Commerce Providers

The platform can therefore exploit network effects.

More creators attract more audiences.

More audiences attract advertisers.

More advertisers generate monetisation opportunities.

Higher monetisation attracts more creators.

This produces a reinforcing cycle:

Creators → Content → Users → Data → Advertisers → Revenue → Creator incentives → More creators

A successful platform may therefore develop substantial structural advantages over smaller competitors.

5. Network Effects

Network effects are particularly significant.

An influencer may choose a platform because:

"My audience is already there."

An audience may choose the platform because:

"The creators I follow are already there."

This creates a collective switching problem.

Even if another platform offers better commercial terms, an influencer may not move because the audience does not move with them.

6. Switching Costs

Influencers face several switching costs.

Economic switching costs

Loss of:

• advertising revenue;
• subscribers;
• sponsorship relationships;
• accumulated engagement;
• monetisation eligibility.

Technical switching costs

Loss of:

• analytics;
• content libraries;
• recommendation history;
• platform-specific tools.

Social switching costs

Loss of:

• established audience;
• community;
• reputation;
• verification;
• engagement history.

Algorithmic switching costs

A creator who has built an audience over several years may have no guarantee that the same audience will be reachable on a competing platform.

7. Exclusivity and Dependency

A particularly serious concern arises where a platform imposes or encourages exclusive participation.

For example, a platform could offer:

• preferential monetisation;
• exclusive creator contracts;
• higher recommendation;
• bonuses;
• advertising privileges

in exchange for restrictions on using competing platforms.

Such arrangements can potentially foreclose rival platforms.

The competition-law analysis would depend upon duration, market coverage, exclusivity, countervailing benefits and the platform's market position.

8. Self-Preferencing

A platform may operate both:

1. the infrastructure used by influencers; and
2. competing creator or media services.

This creates the possibility of self-preferencing.

For example, a platform might theoretically:

• favour its own creators;
• favour its own advertising products;
• suppress links to rival platforms;
• prioritise its own commerce service;
• provide superior analytics to affiliated entities; or
• modify recommendations to benefit vertically integrated businesses.

The critical question is whether the conduct harms competition rather than merely disadvantaging an individual creator.

9. De-ranking and Algorithmic Discrimination

Platforms have significant discretion over content visibility.

A creator may experience:

High visibility → monetisation → sponsorships

but:

De-ranking → reduced audience → reduced engagement → reduced revenue

If ranking decisions are opaque, influencers may have difficulty determining whether declining revenue reflects:

• legitimate quality changes;
• audience preferences;
• algorithmic changes;
• moderation;
• commercial discrimination; or
• competitive exclusion.

This makes algorithmic governance an important component of platform dependency.

10. Terms-and-Conditions Dependency

Influencers frequently accept standard-form platform contracts.

These may govern:

• content ownership;
• licences;
• monetisation;
• termination;
• suspension;
• advertising;
• data use;
• dispute resolution;
• account access; and
• intellectual-property rights.

Because individual creators generally lack bargaining power, contractual freedom may be largely formal.

The competition-law question is whether contractual terms constitute abusive exploitation or exclusionary conduct by a dominant undertaking.

11. Relevant Case Laws

The following cases, although not all concerning influencers directly, establish important principles applicable to influencer-platform dependency.

1. Google LLC v. European Commission — Google Shopping

The European Commission's Google Shopping case concerned Google's preferential treatment of its own comparison-shopping service in search results.

Principle

A dominant digital platform cannot necessarily use control over an important infrastructure layer to favour its own downstream service.

Relevance to influencers

The analogy is significant where a platform controls:

Discovery → Ranking → Audience access

and simultaneously operates competing commercial services.

The influencer-economy concern is therefore whether the platform uses its control over visibility to advantage its own downstream interests.

2. Google Android — Google LLC v. European Commission

The Android litigation concerned Google's contractual arrangements and restrictions affecting competing search and browser services.

Principle

Contractual restrictions imposed by a dominant digital ecosystem can become problematic where they reinforce market power and restrict effective competition.

Influencer relevance

Comparable concerns could arise where a dominant creator platform:

• conditions monetisation;
• restricts cross-platform promotion;
• imposes exclusivity;
• disadvantages competing creator services; or
• ties creator tools to platform-specific services.

The important point is that contractual restrictions can have ecosystem-level effects.

3. Bronner v. Mediaprint

The European Court of Justice considered whether access to a dominant undertaking's distribution infrastructure could be required under the essential-facilities doctrine.

Principle

Competition law does not automatically require dominant businesses to provide access to every facility they control. The conditions for compulsory access are demanding.

Influencer relevance

The case illustrates the difficulty of arguing that a platform must provide creators with access to:

• recommendation systems;
• audience data;
• algorithms;
• distribution infrastructure; or
• platform tools.

However, where access to a platform becomes genuinely indispensable and exclusion eliminates effective competition, the analysis becomes more significant.

4. Slovak Telekom v. European Commission

This case concerned access to telecommunications infrastructure controlled by a dominant undertaking.

Principle

A dominant undertaking controlling an important infrastructure layer may face competition-law restrictions when its conduct excludes competitors.

Influencer relevance

Digital platforms can similarly constitute infrastructure for access to audiences.

The influencer economy therefore raises an increasingly important question:

Can control over digital attention become a form of infrastructure power?

The answer depends upon market definition, indispensability and foreclosure effects.

5. Meta Platforms Inc. v. Bundeskartellamt

The German competition authorities challenged Meta's combination of data obtained from different services and its relationship between data collection and Facebook's social-networking position.

Principle

Competition law can consider the interaction between market power, data accumulation and user autonomy.

Influencer relevance

Influencers operate within data-intensive ecosystems.

A platform may control:

• creator analytics;
• audience data;
• behavioural data;
• advertising information;
• engagement statistics.

Control over data can consequently strengthen both advertising power and creator dependency.

This case is particularly relevant to the argument that data power and platform dependency can reinforce each other.

6. Apple Inc. v. Epic Games Inc.

The litigation concerned Apple's App Store ecosystem, including platform rules, commissions and restrictions concerning alternative payment mechanisms.

Principle

A platform operator's control over an ecosystem can create competition concerns when access to users and commercial transactions is subject to platform rules.

Influencer relevance

The same structural logic can apply to creator ecosystems:

Platform access → audience access → monetisation → platform fees

If creators cannot effectively bypass the platform while retaining access to their audience, platform rules may acquire considerable economic significance.

7. Ohio v. American Express

The US Supreme Court examined the competitive effects of restrictions in a two-sided transaction platform.

Principle

Two-sided platforms may need to be analysed by considering competitive effects across interconnected sides of the platform.

Influencer relevance

Influencer platforms similarly connect multiple groups:

Creators ↔ Audiences ↔ Advertisers

A rule benefiting advertisers but harming creators, for example, cannot always be assessed by looking at creators in isolation.

The broader platform ecosystem must be considered.

8. Epic Games, Inc. v. Google LLC

The US litigation involving Google's Play Store addressed Google's contractual and ecosystem restrictions affecting alternative channels of app distribution and payment.

Principle

Digital ecosystem restrictions may have significant foreclosure implications where the platform possesses substantial market power.

Influencer relevance

The case is useful by analogy for evaluating:

• platform commissions;
• creator monetisation restrictions;
• payment exclusivity;
• anti-steering restrictions;
• restrictions on external commercial relationships.

12. Competition Concerns Arising from Influencer Dependency

13. Data Portability as a Competition Remedy

One possible remedy is creator data portability.

Creators could potentially be permitted to transfer:

• follower information;
• audience analytics;
• content metadata;
• engagement statistics;
• subscriber relationships;
• advertising performance information.

Greater portability could reduce switching costs.

However, portability must also respect:

• privacy;
• data protection;
• intellectual property;
• security; and
• the rights of platform users.

14. Interoperability

Another remedy is interoperability.

For example, platforms could potentially allow creators to maintain communication with audiences across multiple services.

Interoperability could reduce:

Platform dependency → switching costs → market power

and increase:

Multi-homing → competition → creator bargaining power

But mandatory interoperability can impose technical, privacy and security costs.

15. Transparency of Algorithms

Competition authorities may also examine transparency surrounding:

• ranking criteria;
• monetisation eligibility;
• recommendation changes;
• demonetisation;
• account suspension;
• advertising allocation.

Absolute disclosure of algorithms is generally neither necessary nor always desirable.

The objective is instead to prevent opaque discrimination or strategic manipulation that reinforces market power.

16. Collective Bargaining by Influencers

A fragmented creator population may have limited bargaining power against a very large platform.

Collective organisation could improve bargaining power concerning:

• commissions;
• monetisation;
• contracts;
• suspension;
• dispute resolution;
• data access.

Competition law must distinguish legitimate collective bargaining from agreements that themselves restrict competition.

This issue becomes especially complex where influencers are legally treated as independent businesses rather than employees.

17. Platform Dependency and Exploitative Abuse

A dominant platform might potentially exploit dependency through:

• unilateral fee increases;
• retrospective contractual changes;
• arbitrary monetisation restrictions;
• discriminatory enforcement;
• excessive data extraction;
• unreasonable termination;
• compulsory use of platform services.

Not every unfair term constitutes an antitrust violation.

There must ordinarily be a connection with the platform's dominant position and competition process.

18. Influencer Agencies and Vertical Integration

Platform dependency can also arise through vertical integration.

Consider:

Platform → Influencer Agency → Advertising Marketplace → Payment Service

If one corporate group controls several layers, independent creators may find it difficult to compete without using the integrated ecosystem.

Potential concerns include:

• foreclosure of independent agencies;
• preferential access;
• discriminatory commissions;
• tying;
• self-preferencing; and
• acquisition of emerging competitors.

19. Killer Acquisitions in the Influencer Economy

Large platforms may acquire:

• emerging creator platforms;
• livestreaming services;
• influencer agencies;
• analytics companies;
• creator-payment services;
• recommendation technologies.

A transaction that appears small in revenue terms may nevertheless eliminate a future competitive threat.

Therefore, traditional turnover thresholds may not always capture the strategic importance of digital creator businesses.

20. Consumer and Influencer-Side Effects

The competition analysis should consider both sides.

Influencers may suffer:

• lower revenue;
• weaker bargaining power;
• reduced audience mobility;
• higher commissions;
• limited access to data.

Consumers may suffer:

• reduced creator diversity;
• less innovative content;
• reduced privacy;
• increased advertising;
• fewer competing platforms.

Thus, platform dependency can ultimately affect consumer choice and pluralism.

21. Distinguishing Competition Harm from Ordinary Platform Governance

An important limitation is that not every platform decision should become an antitrust case.

A platform may legitimately:

• remove harmful content;
• change recommendation systems;
• enforce advertising standards;
• suspend fraudulent accounts;
• modify monetisation policies.

Competition law becomes more relevant when such powers are used strategically to:

1. exclude competitors;
2. reinforce dominance;
3. discriminate against competing services;
4. impose exploitative conditions; or
5. prevent effective multi-homing.

22. Future Competition-Law Issues

The influencer economy is likely to generate increasingly sophisticated questions concerning:

AI-generated influencers

Platforms may control both AI creators and human creators.

Algorithmic sponsorship allocation

AI systems could determine which influencers receive advertising opportunities.

Automated demonetisation

Creators could be economically sanctioned by automated systems without meaningful explanation.

Influence scoring

Platforms could rank creators according to proprietary influence scores, creating another dependency layer.

Creator identity portability

A creator's reputation may become effectively locked to one platform.

Cross-platform recommendation

Interoperability could become increasingly important.

Virtual influencers and digital avatars

Ownership of avatar identities may create new forms of platform dependency.

Conclusion

Influencer Economy Platform Dependency Structures represent a modern form of digital economic dependence in which platforms control not merely communication infrastructure but the entire chain connecting creator, audience, data, advertising and monetisation.

The principal competition-law concern is not simply that influencers depend on platforms. Dependency becomes legally significant when a platform possessing substantial market power uses that dependency to exclude rivals, impose restrictive conditions, exploit creators, foreclose competing services, self-preference, or reinforce network effects and switching costs.

The most important analytical framework is therefore:

Platform Control → Network Effects → Audience Lock-In → Data Advantage → Monetisation Dependency → Switching Costs → Increased Bargaining Power → Potential Competitive Harm

The cases such as Google Shopping, Google Android, Bronner, Slovak Telekom, Meta/Bundeskartellamt, Apple v. Epic Games, Ohio v. American Express and Epic Games v. Google demonstrate that traditional competition principles can be adapted to this emerging creator economy, particularly through doctrines concerning dominance, essential infrastructure, self-preferencing, tying, exclusionary contractual restrictions, data power, two-sided markets and ecosystem foreclosure.