{"rewrite":{"id":"r_27c3278ffefc717474446fd0","clusterId":"c_1363e804b359fa8fdbd62d83","slug":"researchers-build-ai-tool-that-flags-telegram-piracy-channels","model":"deepseek-v4-flash:free","headline":"Researchers Build AI Tool That Flags Telegram Piracy Channels","summary":"Researchers at Louisiana State University and the University of Texas at Arlington published a study of video piracy on Telegram, analyzing 1057 channels and roughly 209,000 posts from December 2023 to January 2026. They identified 19,033 unique pirated titles and developed an AI tool called Anti-RIP that detected 802 piracy channels during a test period.","whyItMatters":"The study maps how Telegram's piracy ecosystem is deliberately structured to resist takedown requests, with interconnected channels, bots, and backup accounts, and the researchers' open-source Anti-RIP tool offers a way to detect it in real time.","webCardHtml":"\u003cp\u003eThe study, described by its authors as the first large-scale examination of video piracy on Telegram, found that pirated posts appeared across 983 channels and accumulated more than 4.85 billion views. Toei, which holds rights to One Piece and Dragon Ball, was the most infringed company, accounting for 17 percent of all titles, followed by Netflix at 15 percent and Warner Bros. at 12.4 percent.\u003c/p\u003e\u003cp\u003eResearchers estimated the financial loss to content rights holders at about 17.49 billion dollars. They sent their findings to Telegram\u0026#39;s abuse department and 17 major US rights holders. The team also released the Anti-RIP dataset as open source on GitHub.\u003c/p\u003e","blueskyPost":"Anti-RIP's 802 detections in a test period suggest Telegram's piracy problem is scalable to fight. The tool's real value is turning manual takedown into automated enforcement.","twitterPost":"Anti-RIP caught 802 channels in a test, showing piracy enforcement on Telegram can scale beyond manual reports.","threadsPost":"The Anti-RIP tool's 802 detections in a test period point to a scalable solution for Telegram's piracy problem. The researchers analyzed over 209,000 posts across 1057 channels, so the tool is built on real-world volume, not a lab simulation.","newsletterBlurb":"A new academic study maps how video piracy operates on Telegram, finding a deliberately resilient network of interconnected channels and bots. The researchers built an AI detection tool called Anti-RIP and released its dataset publicly.","attributionJson":"[{\"source\":\"GIGAZINE\",\"url\":\"https://gigazine.net/news/20260818-telegram-pirates/\",\"title\":\"Telegramの海賊版配信者をAIで自動検出するツールを研究者らが開発、61日間で海賊版チャンネル524件とボット71件の削除に役立つ\"}]","lintFlagsJson":null,"lintHits":0,"costUsd":0,"inputTokens":5875,"outputTokens":561,"status":"published","repairAttempts":0,"nextRepairAt":null,"factsAttemptedAt":1787051387,"createdAt":"2026-08-18T11:05:57.000Z","publishedAt":"2026-08-18T11:06:44.000Z","updatedAt":"2026-08-18T11:05:57.000Z"},"cluster":{"id":"c_1363e804b359fa8fdbd62d83","canonicalTitle":"Telegramの海賊版配信者をAIで自動検出するツールを研究者らが開発、61日間で海賊版チャンネル524件とボット71件の削除に役立つ","representativeArticleId":"a_f4e1475a660b1f7067c6a260","sourceCount":1,"writtenSourceCount":1,"writeAttempts":0,"isSolo":true,"entitiesJson":"{\"anime_titles\":[],\"manga_titles\":[],\"work_titles\":[],\"studios\":[],\"people\":[],\"type\":\"news\",\"domain\":\"industry\",\"is_roundup\":false}","contentType":"news","status":"published","firstSeenAt":"2026-08-18T06:16:00.000Z","lastSeenAt":"2026-08-18T06:16:00.000Z","updatedAt":"2026-08-18T11:06:44.000Z"},"attribution":[{"source":"GIGAZINE","url":"https://gigazine.net/news/20260818-telegram-pirates/","title":"Telegramの海賊版配信者をAIで自動検出するツールを研究者らが開発、61日間で海賊版チャンネル524件とボット71件の削除に役立つ"}],"entities":{"anime_titles":[],"manga_titles":[],"work_titles":[],"studios":[],"people":[],"type":"news","domain":"industry","is_roundup":false},"keyFacts":null}