<?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/f027574604494982a3e4011b1b81b6ab&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f027574604494982a3e4011b1b81b6ab-e461062e5469578c.gif</thumbnail_url><duration>1005.1</duration><title>Meta Lawsuit Exposes $7 Billion Scam Engine</title><description>This Loom explains Santa Clara County, California’s legal complaint against Meta over allegedly enabling scam advertising through internal systems and misleading public claims. It focuses on leaked Reuters documents suggesting Meta generated up to 7 billion dollars annually from high-risk advertisers flagged by automated criteria such as chargebacks and suspicious user activity. The discussion argues Meta’s AI ad targeting and look-alike audience optimization helped scammers reach vulnerable users, while Meta allegedly prioritized ad revenue over enforcement. The Loom also describes the strategy to bypass Section 230 by targeting Meta’s false advertising and unfair competition based on the gap between promised safety and internal risk.</description></oembed>