Management
Livestream Moderation
Real-time AI-powered moderation for live video streams with automated content filtering and instant violation detection
Livestream Moderation
Protect your live streaming community with real-time AI moderation that monitors video and audio content as it happens. Automatically detect and respond to policy violations during live broadcasts with minimal latency.Real-Time Detection
Monitor live streams frame-by-frame for policy violations
Multi-Modal Analysis
Analyze both video frames and audio content simultaneously
Automated Response
Configure automatic actions based on violation severity
Admin Controls
Manual oversight and control through the social.plus Console
Overview
Livestream moderation provides comprehensive, real-time content analysis for live video broadcasts, ensuring community safety without disrupting legitimate content.Key Features
Key Features
- Frame-by-Frame Analysis: AI scans every video frame in real-time
- Audio Detection: Monitor spoken content and audio patterns
- Instant Response: Take action within seconds of violation detection
- Graduated Actions: Flag for review or automatically terminate streams
- Admin Dashboard: Complete visibility and control over moderation decisions
Cost & Availability
Cost & Availability
- Pricing: $0.135 per minute of live video broadcast
- Real-time Processing: Minimal latency impact on streaming experience
- Scalable: Handles multiple concurrent streams
- Enterprise Feature: Contact support to enable for your application
Getting Started
1
Contact Support
Reach out to our support team to enable livestream moderation for your application.
2
Configure Settings
Set up confidence levels and moderation categories through the social.plus Console.
3
Test Streams
Run test live streams to verify your moderation settings work as expected.
4
Monitor & Adjust
Monitor moderation effectiveness and adjust confidence levels as needed.
How It Works
Livestream moderation operates in real-time, analyzing content as it’s being broadcast:Detection Categories
Our AI analyzes livestream content across multiple categories for comprehensive protection:Visual Content Detection
Visual Content Detection
Explicit Content
- Pornographic material and sexual content
- Nudity and inappropriate exposure
- Sexual activities and suggestive content
- Graphic violence and gore
- Weapons and dangerous activities
- Self-harm and dangerous behavior
- Hate symbols and extremist content
- Drug use and illegal activities
- Disturbing or shocking imagery
Audio Content Detection
Audio Content Detection
Speech Analysis
- Profanity and offensive language
- Hate speech and harassment
- Threats and intimidation
- Repeated violation indicators
- Background audio violations
- Music copyright concerns
Moderation Actions
Pass
Pass
Confidence Below Flag Threshold
- Stream continues normally
- No moderation indicators shown
- Content considered appropriate
Flagged
Flagged
Confidence Above Flag Threshold
- Stream continues but marked for review
- Admin notification sent immediately
- Visible in console flagged streams list
- Manual action required
Terminated
Terminated
Confidence Above Termination Threshold
- Stream automatically stopped
- Associated post soft-deleted
- No playback available to users
- Appears as normally ended stream to viewers
Admin Management
Flagged Stream Review
When streams are flagged, administrators can:
Review Options
Review Options
- View Flagged Content: See specific frames that triggered the flag
- Context Analysis: Review surrounding content for context
- User History: Check streamer’s moderation history
- Community Impact: Assess potential harm to community
Available Actions
Available Actions
- Continue Stream: Allow stream to proceed normally
- Stop Stream: Immediately terminate the live broadcast
- Delete Stream: Remove stream and associated content
- Issue Warning: Send notification to streamer
- Temporary Ban: Restrict user’s streaming privileges
Configuration Interface
Configure moderation settings through the social.plus Console:
1
Access Settings
Navigate to Moderation > Livestream Settings in your console.
2
Set Confidence Levels
Adjust flag and termination thresholds for each content category.
3
Configure Actions
Define automatic responses for different violation types.
4
Test Configuration
Run test streams to validate your settings work correctly.
Configuration Best Practices
Threshold Tuning
Threshold Tuning
Start Conservative
- Begin with default settings (Flag: 40%, Terminate: 75%)
- Monitor false positive and false negative rates
- Adjust gradually based on community standards
- Set stricter thresholds for explicit content
- Allow more tolerance for edge cases like art or education
- Consider cultural context and community norms
Response Strategy
Response Strategy
Balanced Approach
- Use flagging for borderline content requiring human judgment
- Reserve automatic termination for clear violations
- Implement graduated penalties for repeat offenders
- Provide clear guidelines about acceptable streaming content
- Send educational notifications rather than just penalties
- Maintain appeal processes for disputed decisions
Monitoring & Optimization
Monitoring & Optimization
Regular Review
- Weekly analysis of flagged vs. terminated streams
- Monthly review of threshold effectiveness
- Quarterly policy updates based on community feedback
- Track moderation accuracy rates
- Monitor streamer satisfaction and retention
- Measure community safety improvements
Technical Considerations
Confidence Level Impact: Setting confidence levels too low (near 0%) will result in excessive false positives, potentially disrupting legitimate streams and frustrating users.
Performance Impact
- Latency: Minimal impact on stream quality (< 200ms processing delay)
- Bandwidth: No additional bandwidth required from streamers
- Scalability: Handles concurrent streams automatically
- Reliability: Redundant processing ensures consistent moderation
Privacy & Compliance
- Data Processing: Content analyzed in real-time, not stored permanently
- Regional Compliance: Meets GDPR, CCPA, and other privacy regulations
- Transparency: Clear policies about automated moderation usage
- User Rights: Appeal processes and human review availability
Troubleshooting
Common Issues
Common Issues
High False Positive Rate
- Increase confidence thresholds gradually
- Review specific content categories causing issues
- Consider community-specific content norms
- Decrease confidence thresholds carefully
- Enable additional detection categories
- Supplement with user reporting systems
- Check stream resolution and bitrate settings
- Verify network connectivity and latency
- Contact support for optimization assistance
Monitoring Tools
Monitoring Tools
Available Metrics
- Stream moderation decisions per hour/day
- Category breakdown of violations detected
- Average confidence scores by content type
- Response time and processing latency
- Real-time alerts for terminated streams
- Daily summaries of moderation activity
- Threshold breach notifications
- System health and performance alerts
Enterprise Support: Our customer success team provides ongoing optimization support to help you achieve the perfect balance between community safety and user experience.