Social proof · Australia
Popularity claims
Popularity claims is a working label for this design mechanism: Aggregate popularity or approval is presented to steer a choice where the metric, population, period or basis is unclear or unsupported. This is editorial implementation guidance for Australian journeys, not a finding of unlawfulness. From 1 July 2027, a similar interface is relevant to ACL section 28B only if the complete consumer-connection, manipulation or unreasonable-distortion and actual-or-likely-detriment test is met. Current ACL rules require a separate assessment.
- Family
- Social proof
- Also known as
- Journey stages
Definition
What is this pattern?
Aggregate popularity or approval is presented to steer a choice where the metric, population, period or basis is unclear or unsupported. This is a design and research taxonomy for learning and evidence review, not a statutory offence label or an automatic finding that an interface is unlawful.
How it works
Aggregate popularity or approval is presented to steer a choice where the metric, population, period or basis is unclear or unsupported. A ranking or badge implies collective preference without a defined population, period and metric, or substitutes a commercial objective for actual popularity.
Warning signs
- The claim asserts relative or aggregate popularity.
- It is used near a choice or recommendation.
- The relevant metric basis requires provenance verification before alleging deception.
Potential harms
- The badge may steer users using an unsupported impression of collective preference.
- Shoppers may interpret commercial ranking as genuine purchase popularity.
Learn by comparison
What does this look like?
These fictional examples make the design mechanism easier to recognise. They do not depict a real company and do not establish that an individual interface is unlawful.
Illustrative example 1 · “Most popular” has no defined metric
A fictional service labels its highest-margin plan “Most popular” without recording sales, selection period or the population being measured.
Potential consumer harm: The badge may steer users using an unsupported impression of collective preference.
Illustrative example 2 · Bestseller badge follows margin rather than sales
A fictional marketplace assigns “Bestseller” to whichever item yields the highest commission, regardless of units sold.
Potential consumer harm: Shoppers may interpret commercial ranking as genuine purchase popularity.
“Most popular” has no defined metric
A fictional service labels its highest-margin plan “Most popular” without recording sales, selection period or the population being measured.
Most popular. No population, period or selection measure supports the badge.. Choose Pro. Compare Pro features
Plan comparison. Feature and price differences replace the unsupported popularity cue.. Compare Pro features. Choose Pro. Price, period and commitment, expanded: The price and material terms associated with “Compare Pro features” remain beside this choice.
Why the first version can mislead: The interface asks the user to rely on other people’s behaviour or approval. The cue “Choose Pro” has persuasive meaning only if its population, period, metric and relationship match the represented claim. The panel instead says: “No population, period or selection measure supports the badge.” The badge may steer users using an unsupported impression of collective preference.
What a fairer design does: Use the claim only with a defined, current and supportable metric, or use a factual feature label instead.
Show annotated differences (4)
- No population, period or selection measure supports the badge.Why this state matters: The interface asks the user to rely on other people’s behaviour or approval. The cue “Choose Pro” has persuasive meaning only if its population, period, metric and relationship match the represented claim. The panel instead says: “No population, period or selection measure supports the badge.” The badge may steer users using an unsupported impression of collective preference.
- Compare Pro featuresReview prompt: Which source record substantiates “Choose Pro”, including its population, period, metric and any commercial relationship?
- Feature and price differences replace the unsupported popularity cue.Fairer design: Use the claim only with a defined, current and supportable metric, or use a factual feature label instead.
- Price, period and commitment, expanded: The price and material terms associated with “Compare Pro features” remain beside this choice.Review prompt: Place the compared prices, billing periods and material terms on one evidence sheet; where does it support “The claim asserts relative or aggregate popularity”?
Review questions (3)
- Which source record substantiates “Choose Pro”, including its population, period, metric and any commercial relationship?
- Place the compared prices, billing periods and material terms on one evidence sheet; where does it support “The claim asserts relative or aggregate popularity”?
- Can the claim be reproduced from a defined population and period, or does the evidence instead fit “Individual testimonial”?
Bestseller badge follows margin rather than sales
A fictional marketplace assigns “Bestseller” to whichever item yields the highest commission, regardless of units sold.
Bestseller. The badge reflects commission, not customer purchases.. Top customer choice. Claim basis, collapsed
Sponsored placement. Commercial ranking is labelled and no sales popularity is implied.. View sponsored item. Claim basis, expanded: The relevant population, period, inventory or offer state is presented with the message.. View the source and period for “View sponsored item”
Why the first version can mislead: The interface asks the user to rely on other people’s behaviour or approval. The cue “Top customer choice” has persuasive meaning only if its population, period, metric and relationship match the represented claim. The panel instead says: “The badge reflects commission, not customer purchases.” Shoppers may interpret commercial ranking as genuine purchase popularity.
What a fairer design does: Separate sponsored or commercial placement from verified sales-based popularity and state the ranking basis.
Show annotated differences (4)
- The badge reflects commission, not customer purchases.Why this state matters: The interface asks the user to rely on other people’s behaviour or approval. The cue “Top customer choice” has persuasive meaning only if its population, period, metric and relationship match the represented claim. The panel instead says: “The badge reflects commission, not customer purchases.” Shoppers may interpret commercial ranking as genuine purchase popularity.
- Claim basis, collapsedReview prompt: Which source record substantiates “Top customer choice”, including its population, period, metric and any commercial relationship?
- Commercial ranking is labelled and no sales popularity is implied.Fairer design: Separate sponsored or commercial placement from verified sales-based popularity and state the ranking basis.
- View the source and period for “View sponsored item”Review prompt: Record the claim, timestamp, data source and post-claim state; which evidence supports “It is used near a choice or recommendation”?
Review questions (3)
- Which source record substantiates “Top customer choice”, including its population, period, metric and any commercial relationship?
- Record the claim, timestamp, data source and post-claim state; which evidence supports “It is used near a choice or recommendation”?
- Can the claim be reproduced from a defined population and period, or does the evidence instead fit “recent-activity message”?
What is a fairer alternative?
Use popularity claims only with a defined population, period and metric; document the calculation beside the claim or replace it with factual product information.
Legal and information status
How Australian law may apply
Aggregate popularity or approval is presented to steer a choice where the metric, population, period or basis is unclear or unsupported. A ranking or badge implies collective preference without a defined population, period and metric, or substitutes a commercial objective for actual popularity. These harms describe a review risk, not an automatic legal conclusion. Australian section 28B commences on 1 July 2027 and requires its complete, context-specific test. Existing ACL provisions remain a separate current-law assessment.
ACL section 28B, inserted by the 2026 Act
Possible risk indicator
In pricing journeys, the popularity claims mechanism may warrant review where it manipulates a consumer or unreasonably distorts the decision environment and causes, or is likely to cause, detriment. The social proof label and an interface similarity do not establish a contravention; the complete section 28B test, scope, facts and evidence must be applied from 1 July 2027.
Dark-pattern research taxonomy
Editorial analysis
The cited research sources support this working pattern within the social proof family. It is editorial implementation guidance, not an Australian statutory category, regulator finding or legal safe harbour.
Evidence layers and open questions
Applicable law, enforcement records, policy preparation, stakeholder input, editorial analysis and unknown future details remain visibly distinct.
Final Act mappingEditorial implementation guidance
This editorial practice label is not itself an express statutory prohibition. Apply the complete provision and its scope to the facts.
Possible general-test applicationCommences 1 July 2027
ACL section 28B, inserted by the 2026 Act: In pricing journeys, the popularity claims mechanism may warrant review where it manipulates a consumer or unreasonably distorts the decision environment and causes, or is likely to cause, detriment. The social proof label and an interface similarity do not establish a contravention; the complete section 28B test, scope, facts and evidence must be applied from 1 July 2027.
Existing ACLCurrent enforcement
Existing ACL provisions continue to apply on their own elements before and after commencement. The 2027 provisions must not be applied early.
Verified enforcement contextCurrent enforcement
No named pattern-specific enforcement example is asserted on this page. Existing ACL analysis remains fact-specific and separate from the 2027 provisions.
RegulationsRegulation pending
Later regulations may affect specified exclusions, matters or exceptions. That uncertainty does not postpone a core enacted rule unless the provision itself depends on prescription.
Regulator implementation materialGuidance pending
Government funding and parliamentary material anticipate regulator education and guidance. No dedicated final ACCC implementation guide is treated here as published.
Journey and evidence recommendationsEditorial implementation guidance
Use popularity claims only with a defined population, period and metric; document the calculation beside the claim or replace it with factual product information. This is editorial portal guidance, not a statutory duty, regulator safe harbour or compliance certificate.
Context matters
Context and boundary cases
- The claim asserts relative or aggregate popularity.
- It is used near a choice or recommendation.
- The relevant metric basis requires provenance verification before alleging deception.
- Boundary to test: Individual testimonial
- Boundary to test: recent-activity message
- Boundary to test: transparent internally computed recommendation not presented as social behaviour
When a similar design can serve a legitimate purpose
- Individual testimonial
- recent-activity message
- transparent internally computed recommendation not presented as social behaviour
Operational review
What teams should review
- Teams
- Which source record substantiates “Choose Pro”, including its population, period, metric and any commercial relationship?
- Place the compared prices, billing periods and material terms on one evidence sheet; where does it support “The claim asserts relative or aggregate popularity”?
- Can the claim be reproduced from a defined population and period, or does the evidence instead fit “Individual testimonial”?
- Which source record substantiates “Top customer choice”, including its population, period, metric and any commercial relationship?
- Record the claim, timestamp, data source and post-claim state; which evidence supports “It is used near a choice or recommendation”?
- Can the claim be reproduced from a defined population and period, or does the evidence instead fit “recent-activity message”?
Evidence to retain
- Annotated pricing screenshots at each responsive breakpoint
- The complete state sequence before, during and after the consumer decision
- Design-system component, content, default and configuration records for the reviewed release
- Operational records substantiating price, availability, timing and eligibility claims
- Usability, accessibility, reversal, complaint and support evidence relevant to consumer impact
- A dated product and legal review record identifying evidence, uncertainties and release decisions
Legal map and implementation tools
Evidence base
Sources
- Dark commercial patternsOrganisation for Economic Co-operation and Development · Secondary · checked 2026-09-14 · OECD Digital Economy Papers No. 336
- Competition and Consumer Amendment (Unfair Trading Practices) Act 2026Federal Register of Legislation · Primary · checked 2026-09-14 · C2026A00064
- Competition and Consumer Act 2010, including Schedule 2: Australian Consumer LawFederal Register of Legislation · Primary · checked 2026-09-14 · C2004A00109
- Unfair trading tricks and traps to be bannedTreasury Ministers · Primary · checked 2026-09-14
- Inquiry into the Competition and Consumer Amendment (Unfair Trading Practices) Bill 2026Senate Economics Legislation Committee · Primary · checked 2026-08-09