<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/e85cbd67fff9478faa9a2c2cae756cc8&quot; frameborder=&quot;0&quot; width=&quot;3024&quot; height=&quot;2268&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>2268</height><width>3024</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>2268</thumbnail_height><thumbnail_width>3024</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e85cbd67fff9478faa9a2c2cae756cc8-c183f45f6510d552.gif</thumbnail_url><duration>112.056</duration><title>Sleuth Chrome Extension Detects Dark Patterns</title><description>This Loom presents Sleuth, a Chrome extension designed to detect and flag dark patterns on online checkout pages. It explains that many checkouts manipulate shoppers by pressuring them to buy more or faster, or pay higher prices, which can hit users with low digital literacy hardest. The demo shows suspicious elements being underlined and explained on a sample site, with similar behavior tested on official sites like Amazon, while findings are saved locally for later review. The speaker notes next steps including focusing on Grammarly corrections versus Go, improving UI frontend portability, using a hosted backend, and creating a mobile version.</description></oembed>