Introduction to Competition Law
A dominant messaging platform asks users to accept expanded data sharing. The lab asks one question: did the consent request amount to market bullying?
1. ChatApp screen simulator
Begin inside the simulated app. Students first experience the policy as users, then analyse it as competition lawyers.
Groups, messages, calls
Privacy Policy Update
To continue using ChatApp, accept our updated terms.
The updated policy allows expanded collection and sharing of data across ChatApp group companies for service improvement, safety, personalization, advertising, analytics, and business development.
What does refusal cost?
Click Refuse on the phone. The consequences appear as practical pressures, not legal conclusions.
2. Choice pressure simulator
Move the sliders. The lab translates market facts into pressure on consent.
A button is not always a choice. The legal question is whether the user had a meaningful competitive alternative.
3. Did consent amount to bullying?
Bullying is the teaching metaphor. The legal question is whether the conduct may amount to abuse of dominance.
Power
Was ChatApp powerful enough that users could not realistically refuse?
Pressure
Was the policy imposed on a take-it-or-leave-it basis?
Extraction
Was the platform asking for more data than necessary for the core service?
Classify the conduct
The concern rises when power, pressure, and unnecessary extraction converge.
4. How can the authority prove bullying?
Use Section 19(4) factors as an evidence board for showing why consent may not be meaningful.
Market share
High usage share suggests the platform may operate independently of competitive pressure.
Size and resources
Financial, technical, and data resources may deepen bargaining power over users.
Competitor strength
Weak or fragmented rivals make refusal less realistic.
Commercial advantages
Data and ecosystem advantages may make the platform difficult to discipline.
Integration
Group services, advertising, analytics, and platform infrastructure may amplify the effect of data sharing.
Consumer dependence
Dependence is the bridge between formal consent and pressured consent.
Entry barriers
Network effects, switching costs, and scale can prevent rivals from offering meaningful alternatives.
Countervailing power
If users, advertisers, or business users cannot resist, the policy may be harder to discipline.
The authority needs evidence. Moral discomfort with a policy is not enough.
5. What is the theory of harm?
If this is bullying, what exactly is the injury to users, rivals, or the competitive process?
Unfair data condition
Users are made to surrender more data as the price of continued access.
Rival disadvantage
Group data advantages may make rivals compete on structurally unequal terms.
Power travels
Dominance in messaging may strengthen related services such as advertising or analytics.
Loss of meaningful control
Users lose control over future data use and future choices.
The strongest introductory theory is usually unfair condition. The market-facing theory depends on data advantage and rival disadvantage.
6. When is it not bullying?
Change the facts. A dominant platform collecting data is not automatically abusive.
Low-concern hypotheticals
Toggle facts that make the conduct less like bullying.
These safeguards reduce the risk of false condemnation by distinguishing harmful coercion from legitimate product design.
7. Bullying, but justified?
Introduce error costs and rule-of-reason style balancing without turning the lab into advanced litigation.
Justification sliders
Type I error
False positive: the authority condemns useful or harmless conduct.
Type II error
False negative: the authority allows harmful conduct to continue.
Balancing result
8. If bullying is proved, what is the solution?
Remedies are design choices. The goal is to stop coercion without banning legitimate data use.
Choose remedy goals
Select remedies
Meaningful opt-out
Users can refuse non-core data sharing without losing the core service.
Granular consent
Separate consent categories for security, personalization, ads, and group sharing.
Purpose limitation
Data can be used only for specified, necessary purposes.
Data minimization
Collect only what is necessary for the stated service purpose.
Data-use firewall
Limit cross-group use where it reinforces related-market power.
Independent audit
Review data flows, consent design, and compliance reports.
A good remedy should be targeted: restore choice, limit unnecessary extraction, and prevent market reinforcement while preserving legitimate security and service-improvement uses.
9. Final legal diagnosis memo
Generate a short student answer from the live simulation.
Generate memo
The memo uses the current scores and selected theories. It is suitable as a classroom recap.