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Content Moderation System
MediumML System Design
Design an automated content moderation system for a social media platform.
Scenario: A social media platform receives 100M posts per day. The system must detect harmful content (hate speech, violence, misinformation, spam) and either remove it automatically or escalate to human reviewers.
Your Task: Design the content moderation pipeline.
Key Challenges:
- Multi-label classification (content can violate multiple policies)
- Handling multimodal content (text + images)
- Balancing speed with accuracy (high-confidence auto-remove vs escalation)
- Reducing reviewer workload while maintaining safety
Design Mode
📝 Your Design Approach
Describe your system design approach. Consider components, data flow, and key decisions.
🎯 Design Questions(Select all that apply)
Q1.What is the best architecture for multi-modal content moderation (text + images + video)?
Q2.How should the system handle borderline content that is ambiguous?
Q3.How should the moderation system handle cultural and linguistic context?
Q4.What monitoring strategy catches adversarial attacks on the moderation system?
0 of 4 questions answered