Inside TikTok's transparency center: AI catches 97% of removed videos
SINGAPORE — Before a TikTok video reaches the recommendation feed, machines get the first look, scanning its images, sounds and other signals for potential violations of the platform’s community guidelines. In the first quarter of this year, automated systems detected and removed 178 million, or 96.7 percent, of the 184 million videos taken down globally — before they were reviewed by human…
Inside TikTok's Transparency Center in Singapore, an advanced AI system plays a crucial role in scanning videos before they reach users. This machine-learning technology detects and removes potential violations of the platform's community guidelines, accounting for 96.7% of the 178 million videos taken down in the first quarter of the year.
Out of 184 million videos removed globally, 99.3% were taken down before users reported them. At the Transparency and Accountability Center, a demonstration showcases how the AI identifies signals associated with violations, including smoking, drinking, physical violence, and extremist symbols. The system goes beyond visual recognition, analyzing audio, keywords, hyperlinks, body posture, and actions to combine multiple signals and make informed decisions about removing content.
Written by urgent.news from The Korea Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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