Refactor authentication settings and enhance frontend moderation panel with performance optimizations, loading states, error handling, mobile responsiveness, and accessibility improvements

memory-bank/features/moderation/overview.md

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+# Moderation System Overview
+
+## Purpose
+The moderation system ensures high-quality, accurate content across the ThrillWiki platform by implementing a structured review process for user-generated content.
+
+## Core Components
+
+### 1. Content Queue Management
+- Submission categorization
+- Priority assignment
+- Review distribution
+- Queue monitoring
+
+### 2. Review Process
+- Multi-step verification
+- Content validation rules
+- Media review workflow
+- Quality metrics
+
+### 3. Moderator Tools
+- Review interface
+- Action tracking
+- Decision history
+- Performance metrics
+
+## Implementation
+
+### Models
+```python
+# Key models in moderation/models.py
+- ModeratedContent
+- ModeratorAction
+- ContentQueue
+- QualityMetric
+```
+
+### Workflows
+
+1. Content Submission
+   - Content validation
+   - Automated checks
+   - Queue assignment
+   - Submitter notification
+
+2. Review Process
+   - Moderator assignment
+   - Content evaluation
+   - Decision making
+   - Action recording
+
+3. Quality Control
+   - Metric tracking
+   - Performance monitoring
+   - Accuracy assessment
+   - Review auditing
+
+## Integration Points
+
+### 1. User System
+- Submission tracking
+- Status notifications
+- User reputation
+- Appeal process
+
+### 2. Content Systems
+- Parks content
+- Ride information
+- Review system
+- Media handling
+
+### 3. Analytics
+- Quality metrics
+- Processing times
+- Accuracy rates
+- User satisfaction
+
+## Business Rules
+
+### Content Standards
+1. Accuracy Requirements
+   - Factual verification
+   - Source validation
+   - Update frequency
+   - Completeness checks
+
+2. Quality Guidelines
+   - Writing standards
+   - Media requirements
+   - Information depth
+   - Format compliance
+
+### Moderation Rules
+1. Review Criteria
+   - Content accuracy
+   - Quality standards
+   - Community guidelines
+   - Legal compliance
+
+2. Action Framework
+   - Approval process
+   - Rejection handling
+   - Revision requests
+   - Appeals management
+
+## Future Enhancements
+
+### Planned Improvements
+1. Short-term
+   - Enhanced automation
+   - Improved metrics
+   - UI refinements
+   - Performance optimization
+
+2. Long-term
+   - AI assistance
+   - Advanced analytics
+   - Workflow automation
+   - Community integration
+
+### Integration Opportunities
+1. Machine Learning
+   - Content classification
+   - Quality prediction
+   - Spam detection
+   - Priority assignment
+
+2. Community Features
+   - Trusted reviewers
+   - Expert validation
+   - Community flags
+   - Reputation system