<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Digital Fairness Act Monitor: updates and research explained</title><description>Source-verified material updates and plain-language research explainers from the DFA tracker.</description><link>https://digital-fairness-act.eu/</link><language>en</language><item><title>Digital Fairness Act status: initial verified baseline</title><link>https://digital-fairness-act.eu/updates/initial-status-review/</link><guid isPermaLink="true">https://digital-fairness-act.eu/updates/initial-status-review/</guid><description>A source-led baseline separating current EU law, the announced Digital Fairness Act initiative, matters under consideration and questions that remain open.</description><pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Why researchers needed an ontology for dark patterns</title><link>https://digital-fairness-act.eu/research/dark-pattern-ontology/</link><guid isPermaLink="true">https://digital-fairness-act.eu/research/dark-pattern-ontology/</guid><description>How the CHI 2024 dark-pattern ontology connects taxonomies and three levels of abstraction, including a documented count discrepancy and limits on legal conclusions.</description><pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate></item><item><title>What a crawl of 11,000 shopping sites taught researchers about dark patterns</title><link>https://digital-fairness-act.eu/research/dark-patterns-at-scale/</link><guid isPermaLink="true">https://digital-fairness-act.eu/research/dark-patterns-at-scale/</guid><description>The landmark 2019 web-crawl study explained: how researchers found 1,818 dark-pattern instances, what automation could see and what the crawl could not prove.</description><pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate></item><item><title>The EDPB’s deceptive-design guide is practical, but narrower than it looks</title><link>https://digital-fairness-act.eu/research/edpb-deceptive-design-guidelines/</link><guid isPermaLink="true">https://digital-fairness-act.eu/research/edpb-deceptive-design-guidelines/</guid><description>A readable guide to the EDPB’s six deceptive-design categories, social-media lifecycle examples and the boundary between GDPR guidance and a future DFA.</description><pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Why “97% of popular sites” does not mean 97% were unlawful</title><link>https://digital-fairness-act.eu/research/eu-behavioural-study-dark-patterns/</link><guid isPermaLink="true">https://digital-fairness-act.eu/research/eu-behavioural-study-dark-patterns/</guid><description>A plain-English guide to the European Commission’s 2022 behavioural study, its striking prevalence finding and the limits of the often-quoted 97% figure.</description><pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate></item><item><title>AI agents can recognise a dark pattern, and still follow it</title><link>https://digital-fairness-act.eu/research/gui-agents-dark-patterns/</link><guid isPermaLink="true">https://digital-fairness-act.eu/research/gui-agents-dark-patterns/</guid><description>A 2026 CHI study tested people, GUI agents and human-agent teams across 16 dark-pattern types, revealing procedural blind spots and limits to oversight.</description><pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Subtle dark patterns can be more dangerous than obvious ones</title><link>https://digital-fairness-act.eu/research/shining-light-experiments/</link><guid isPermaLink="true">https://digital-fairness-act.eu/research/shining-light-experiments/</guid><description>Two large experiments found that dark patterns changed sign-up behaviour, and that mild designs could steer people without provoking the same backlash as aggressive tactics.</description><pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate></item></channel></rss>