AI Content Moderation System

A comprehensive content moderation platform that uses computer vision and NLP to identify harmful content in real-time at massive scale.

The Challenge

A social platform struggled with content safety:

• Volume overwhelm - Millions of posts per day
• Slow review - 48+ hour queue for reported content
• Inconsistent decisions - Human reviewers disagreeing
• New threat types - Evolving harmful content

They needed AI-powered moderation at scale.

Our Approach

We built a multi-modal moderation system for text, images, and video.

Moderation Strategy

1. Multi-Modal - Text, image, and video analysis
2. Real-Time - Pre-publication blocking
3. Contextual - Understand intent and context
4. Human-in-Loop - Escalation for edge cases

The Solution

Text Moderation

• Hate speech detection
• Harassment and bullying
• Spam and scam detection
• Misinformation flagging

Image Moderation

• NSFW content detection
• Violence and gore
• Graphic content
• Logo and watermark detection

Video Moderation

• Frame-by-frame analysis
• Audio transcription check
• Thumbnail verification
• Live stream monitoring

Review Queue

• Confidence-based routing
• Analyst tools
• Appeal handling
• Policy updates

Technology Stack

Results & Impact

The system transformed content safety:

• 99.2% accuracy on known harmful content
• 50ms average moderation decision
• 10M+ posts moderated every day
• 90% reduction in human review load

Safety Features

Proactive Detection

• Pre-publication screening
• Trending harmful content detection
• Coordinated behavior identification
• New threat pattern learning

Transparency

• Appeal mechanism
• Decision explanations
• Policy transparency
• Regular accuracy audits

Client Testimonial

"We went from 48-hour review queues to real-time moderation. User reports dropped 70% because we're catching content before users see it."

— Head of Trust & Safety, Social Platform

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Building platform safety? Contact us to discuss content moderation solutions.