The Facebook insider building content moderation for the AI era
•When Brett Levenson left Apple in 2019 to lead business integrity at Facebook, the social media giant was in the thick of the Cambridge Analytica fallout.
•At the time, he thought he could simply fix Facebook’s content moderation problem with better technology. The problem, he quickly learned, ran deeper than technology.
•Human reviewers were expected to memorize a 40-page policy document that had been machine-translated into their language, he said.
هذا الخبر من TechCrunch. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.
When Brett Levenson left Apple in 2019 to lead business integrity at Facebook, the social media giant was in the thick of the Cambridge Analytica fallout. At the time, he thought he could simply fix Facebook’s content moderation problem with better technology. The problem, he quickly learned, ran deeper than technology. Human reviewers were expected to memorize a 40-page policy document that had been machine-translated into their language, he said. Then they had about 30 seconds per piece of flagged content to decide not just whether that content violated the rules, but what to do about it: block it, ban the user, limit the spread. Those quick calls were only “slightly better than 50% accurate,” according to Levenson.المصدر: TechCrunch | Source: TechCrunch
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This article was originally published by TechCrunch. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.


