Text Moderation
Overview
SafetyKit's text moderation detects hate speech, harassment, threats, and policy violations across comments, messages, posts, and any text content in real-time. Unlike keyword-based systems, our AI understands context, slang, and nuanced language to minimize false positives while catching genuine violations.
Key Capabilities
- Real-time analysis: For inline moderation decisions
- Multilingual support: Native understanding of 193+ languages including slang and regional dialects
- Context awareness: Distinguishes between harmful intent and benign usage of flagged terms
- Custom policies: Enforce platform-specific rules beyond standard safety categories
Detection Capabilities
Hate speech and discrimination
Harassment and bullying
Threats and violence
Spam and manipulation
Platform-specific violations
Custom policy enforcement
How It Works
Multi-Layer Analysis
- Semantic Understanding: AI parses meaning and intent, not just keywords
- Context Evaluation: Considers conversation history, user patterns, and platform context
- Policy Matching: Maps content against your specific policy framework
- Enforcement Decisions: Makes enforcement decisions automatically, with configurable thresholds for routing edge cases to human review
Use Cases
Social platforms
Gaming communities
E-commerce reviews
Creator platforms
Messaging apps
Forum discussions
Accuracy at Scale
SafetyKit processes millions of text moderation requests daily with consistent accuracy. Our models are continuously updated to address emerging abuse patterns, new slang, and evolving platform policies—without requiring manual rule updates.
Performance
Real-time
Moderation decisions
90%
Reduction in review time
75%
Increase in human reviewer accuracy
Coverage
200+
Policies across 20 regions out of the box
100%
Audit and logging coverage
All content types monitored
Agility
<4 hrs
Deploy new policies
Zero engineering work for platform-specific rules
Audit, report, and investigate in minutes
Related Capabilities
