Key Benefit: Unified AI + human moderation workflows to proactively detect, review, and resolve policy violations while preserving user trust and transparency.
AI Detection
Automated text / image / video analysis with confidence tuning
Manual Review
Prioritized queues & human decisions (see AI + queue tuning)
User Actions
Warnings, suspensions, bans & restriction management
Roles & Privileges
Granular moderator capability & workflow permissions
Analytics Export
Raw metrics export for BI & policy tuning
Policy Configuration
Thresholds, keyword lists, exception & escalation rules
Key Capabilities
Real-Time & Pre-Publish Filtering
Real-Time & Pre-Publish Filtering
- Low-latency AI screening for text, images, video frames
- Configurable confidence thresholds (auto allow / queue / block)
- Custom keyword & regex rule layers
- Metadata & context-aware scoring (history, reputation)
Structured Review Queues
Structured Review Queues
- Priority scoring (severity, virality, report density)
- Workload distribution & claim / assign patterns
- Batch operations for spam waves
- Full audit log for every action
User Reporting Pipeline
User Reporting Pipeline
- Category-based reports with optional free-form notes
- Reporter credibility weighting & duplicate collapse
- SLA timers & escalation triggers
- Feedback loop to reporters (accepted / rejected)
Enforcement & Appeals
Enforcement & Appeals
- Action ladder: warn → restrict → suspend → ban
- Time-boxed penalties & automatic expiry
- Appeal submission & secondary review layer
- Consistent policy taxonomy & rationale capture
Analytics & Quality
Analytics & Quality
- False positive / negative tracking & model tuning inputs
- Moderator performance & queue aging metrics
- Violation trend & emerging pattern surfacing
- Policy effectiveness dashboards
Moderation Approach
Layered Strategy
Layered Strategy
- Preventive (AI & rules)
- Reactive (user & system reports)
- Review (human adjudication)
- Appeal (fairness & transparency)
Fairness & Consistency
Fairness & Consistency
- Proportionate actions matched to severity
- Standardized decision templates
- Calibration sessions & spot audits
- Transparent communication & appeals
Primary Workflows
Goal: Minimize exposure to harmful content before broad distribution.
- Content submitted (post / comment / media / stream event)
- AI models + rule engine assign risk score
- Outcome branch: Allow | Queue | Block
- Metadata logged for analytics & tuning
System Architecture
Getting Started
1
Define Policies
Document violation categories & action ladder.
2
Configure AI
Set confidence thresholds & custom rules.
3
Enable Reporting
Ensure user report categories & flows are active.
4
Set Roles
Assign moderator / supervisor permissions.
5
Tune Queues
Prioritize by severity & workload balance.
6
Monitor Metrics
Track false positives & SLA compliance.
Best Practices
Operational Excellence
Operational Excellence
- Calibrate models monthly with sampled decisions
- Enforce rationale fields on irreversible actions
- Rotate reviewers for sensitive categories
- Monitor queue aging; set escalation SLAs
Bias & Quality Control
Bias & Quality Control
- Run blind double-review audits
- Track acceptance / reversal rates per moderator
- Review appeal overturn patterns
- Maintain balanced training datasets
Automation Hygiene
Automation Hygiene
- Start conservative with auto-block thresholds
- Whitelist benign edge cases iteratively
- Version & test new rule sets before production
- Log every automated action with explainability
Integration Points
Webhook
Live events for content status, enforcement & appeals
API Endpoints
Programmatic moderation & bulk operations
Analytics Export
Raw data for external BI & policy tuning
Compliance: Align enforcement with regional legal requirements (e.g., GDPR, DSA) & retain audit logs for mandated retention periods.