Content Moderation Agent

A platform handling 50,000+ pieces of user-generated content daily relies on keyword blocklists and basic image classifiers. Keyword filters generate massive false positive volumes — "kill" triggers in gaming, cooking, and sports contexts. Meanwhile, sophisticated violations using coded language and context-dependent harassment bypass the rules.

Hive Moderation demonstrated automated moderation performing at or above human accuracy across text, images, and video. Their improved models now outperform human moderators on consistency. Spectrum Labs focuses on contextual toxic behavior understanding. The Digital Services Act (EU) requires "expeditious" content review.

Human moderation is not scalable: 30-50% annual turnover from burnout and genuine psychological harm from exposure to harmful content.

This agent processes content in real time across text, images, and video. For text, fine-tuned language models evaluate content in context — "kill it" means different things in a gaming community versus a direct message. For images, computer vision detects nudity, violence, and policy-violating content. For video, keyframe and audio transcript analysis.

Each item receives per-policy confidence scores across configured categories: hate speech, harassment, violence, sexual content, spam, misinformation, and custom categories. High-confidence violations are auto-actioned. Borderline cases queue for human review with AI assessment and reasoning.

The system adapts to your community norms. A medical education platform has different policies than a children's app. Custom categories added without retraining base models.