<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom"><title>Unfair Trading Australia: updates and research explained</title><id>https://unfairtrading.com/</id><link href="https://unfairtrading.com/atom.xml" rel="self"/><author><name>Flowlane</name><uri>https://unfairtrading.com/about/</uri></author><updated>2026-09-14T00:00:00.000Z</updated><entry><title>Unfair Trading Practices Act 2026: enacted baseline</title><id>https://unfairtrading.com/updates/act-enacted-baseline/</id><link href="https://unfairtrading.com/updates/act-enacted-baseline/"/><published>2026-08-09T00:00:00.000Z</published><updated>2026-09-14T00:00:00.000Z</updated><summary>The enacted Australian baseline: exact Act title, assent and registration, 1 July 2027 commencement, final section 28B wording and pending regulations.</summary></entry><entry><title>Knowing a dark pattern is there may not help people resist it</title><id>https://unfairtrading.com/research/awareness-does-not-create-resistance/</id><link href="https://unfairtrading.com/research/awareness-does-not-create-resistance/"/><published>2026-08-10T00:00:00.000Z</published><updated>2026-09-14T00:00:00.000Z</updated><summary>A 406-person study found that people could recognise manipulative design yet remain vulnerable or uncertain about harm, challenging “just inform users” responses.</summary></entry><entry><title>What 2,000 Australians said dark patterns cost them</title><id>https://unfairtrading.com/research/cprc-duped-by-design/</id><link href="https://unfairtrading.com/research/cprc-duped-by-design/"/><published>2026-08-10T00:00:00.000Z</published><updated>2026-09-14T00:00:00.000Z</updated><summary>The CPRC survey behind “Duped by design” explained: reported financial, privacy and trust consequences, the ten tested patterns and the limits of self-reported evidence.</summary></entry><entry><title>Why automated dark-pattern detection still needs a journey review</title><id>https://unfairtrading.com/research/dark-patterns-at-scale-australia/</id><link href="https://unfairtrading.com/research/dark-patterns-at-scale-australia/"/><published>2026-08-10T00:00:00.000Z</published><updated>2026-09-14T00:00:00.000Z</updated><summary>The 11,000-site crawl remains a foundation for automated detection, but Australian teams need authenticated journeys, operating evidence and legal review beyond page signals.</summary></entry><entry><title>When an AI agent shops or subscribes, who notices the manipulation?</title><id>https://unfairtrading.com/research/gui-agents-australian-journeys/</id><link href="https://unfairtrading.com/research/gui-agents-australian-journeys/"/><published>2026-08-10T00:00:00.000Z</published><updated>2026-09-14T00:00:00.000Z</updated><summary>The 2026 CHI study on GUI agents and dark patterns translated for Australian pricing, subscription and cancellation journeys.</summary></entry><entry><title>What Australia’s “Patterns in the dark” report adds to the debate</title><id>https://unfairtrading.com/research/patterns-in-the-dark-unisa/</id><link href="https://unfairtrading.com/research/patterns-in-the-dark-unisa/"/><published>2026-08-10T00:00:00.000Z</published><updated>2026-09-14T00:00:00.000Z</updated><summary>The University of South Australia’s commissioned landscape review explained: its taxonomy, Consumer Data Right context and the limits noted during official discussion.</summary></entry><entry><title>Why the quietest manipulation may deserve the closest review</title><id>https://unfairtrading.com/research/shining-light-australian-teams/</id><link href="https://unfairtrading.com/research/shining-light-australian-teams/"/><published>2026-08-10T00:00:00.000Z</published><updated>2026-09-14T00:00:00.000Z</updated><summary>The Luguri and Strahilevitz experiments for Australian teams: strong behavioural effects, weaker backlash to mild designs and careful limits on legal translation.</summary></entry></feed>