TL;DR — Content Moderation

Design a content moderation system that automatically detects and acts on policy-violating content (hate speech, violence, spam, misinformation, CSAM) across text, images, and video at scale. The system combines ML classifiers with human review queues and supports user appeals. Key features: Automated classification of text, image, and video content. Multi-label policy violation detection (hate, violence, spam, etc.).