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Content Moderation Chrome Extension - Development Plan

Project Overview

This Chrome extension is designed to assist content moderators in their daily tasks by providing automated content analysis, workflow automation, and well-being features. The extension will help identify policy violations, streamline moderation actions, and support moderator mental health.

Phase 1: Planning and Scoping

Core Functionality

  • Content Identification: Analyze on-page content (text, images, videos) to identify potential policy violations
  • Tool Integration: Provide central dashboard/overlay for platform-specific moderation tools
  • Workflow Automation: Automate repetitive actions like templated responses and case reports

Key Features

  • Content Highlighting: Automatically highlight keywords, phrases, and visual elements matching rule sets
  • One-Click Actions: Context-menu options and floating toolbar for quick actions (flag, escalate, block)
  • User Information Overlay: Hover pop-ups showing user moderation history
  • Reporting & Metrics: Dashboard tracking actions taken, violation types, and time spent
  • Customization: Configurable rule sets, shortcuts, and interface preferences

Technical Stack

  • Frontend: HTML, CSS, JavaScript (React/Vue for complex UI if needed)
  • Chrome APIs: chrome.tabs, chrome.storage, chrome.contextMenus, chrome.scripting
  • Manifest: Manifest V3 for security and performance

Phase 2: Core Development

Task 2.1: Project Setup

  • Create standard Chrome extension file structure
  • Configure manifest.json with necessary permissions
  • Set up development environment

Task 2.2: Content Script Development (content.js)

  • Implement DOM traversal for content analysis
  • Create highlighting function for configurable keywords/regex
  • Develop content identification algorithms

Task 2.3: Popup UI Development (popup.html and popup.js)

  • Design extension popup interface
  • Implement settings management with Chrome storage
  • Create user configuration options

Task 2.4: Background Script (background.js)

  • Set up browser action listeners
  • Implement context menu creation and handling
  • Manage message passing between components

Phase 3: Well-being and Operational Efficiency Features

Task 3.1: Customizable Rule Sets

  • Create settings page for user-defined rule sets
  • Store rules in chrome.storage.sync for cross-browser sync
  • Update content script to use custom rules

Task 3.2: Quick-Action Shortcuts

  • Add configurable keyboard shortcuts using chrome.commands API
  • Map shortcuts to moderation actions
  • Integrate with content script functions

Task 3.3: Well-being Breaks and Reminders

  • Implement timer feature with configurable intervals
  • Add desktop notifications for break reminders
  • Include "mindful moment" feature with calming content

Task 3.4: Toxicity Score and Metrics Dashboard

  • Develop keyword-based toxicity scoring algorithm
  • Create metrics dashboard for daily statistics
  • Visualize violation types and review times

Task 3.5: Reporting Automation

  • Generate pre-formatted reports for flagged content
  • Include screenshots, flagged content, user ID, and policy violations
  • Provide clipboard copy functionality

Phase 4: Testing, Refinement, and Deployment

Task 4.1: Comprehensive Testing Suite

  • Unit Testing: Test individual functions and algorithms
  • Integration Testing: Verify component interactions
  • Browser Compatibility: Test on latest Chrome versions
  • Usability Testing: Gather feedback from trust and safety professionals
  • Performance Testing: Monitor memory usage and CPU impact

Task 4.2: User Feedback and Iteration

  • Deploy to small group of moderators for real-world testing
  • Collect and implement feedback
  • Address bugs and usability issues

Task 4.3: Documentation

  • Create comprehensive README.md
  • Document features and customization options
  • Include installation and usage instructions

Task 4.4: Deployment

  • Bundle extension files
  • Prepare for Chrome Web Store or internal distribution
  • Provide installation instructions

Development Status

  • Project planning and documentation
  • Phase 2: Core development
  • Phase 3: Advanced features (AI Integration)
  • Phase 4: Testing and deployment
  • NEW: AI-Powered Content Analysis with Gemini API
  • NEW: Custom Policy Engine
  • NEW: URL Context Analysis
  • NEW: Enhanced Moderation Dashboard
  • NEW: Multiple Escalation Destinations

Completed Features

✅ Phase 2: Core Development

  1. ✅ Set up project structure with manifest.json
  2. ✅ Implemented content script functionality
  3. ✅ Created popup interface with metrics dashboard
  4. ✅ Added background script for extension lifecycle
  5. ✅ Implemented customizable rule sets
  6. ✅ Added well-being features (break timer, mindful moments)
  7. ✅ Created comprehensive settings and options

✅ Phase 3: Advanced Features

  1. ✅ Gemini AI Integration: Advanced content analysis using Google's Gemini API
  2. ✅ Custom Policy Engine: Create and manage custom moderation policies
  3. ✅ URL Context Analysis: Comprehensive page analysis with context awareness
  4. ✅ Enhanced Dashboard: Complete moderation actions dashboard
  5. ✅ Multiple Escalation Destinations: Local, API, Slack, email, Discord
  6. ✅ Analysis Modes: AI-only, rules-only, or hybrid analysis
  7. ✅ Confidence Scoring: AI-generated confidence scores for violations
  8. ✅ Detailed Explanations: AI explanations for policy violations

✅ Phase 4: Testing and Deployment

  1. ✅ Comprehensive testing suite
  2. ✅ User feedback and iteration
  3. ✅ Documentation and README
  4. ✅ Deployment ready

Current Capabilities

AI-Powered Analysis

  • Gemini API Integration: Real-time content analysis using Google's advanced AI
  • Custom Policy Creation: Define specific policies for different content types
  • Context-Aware Analysis: Considers page type, domain, and user behavior
  • Confidence Scoring: AI provides confidence levels for each violation
  • Detailed Explanations: Understand why content violates policies

Content Moderation Features

  • Automatic Highlighting: AI and rule-based content highlighting
  • One-Click Actions: Flag, escalate, or block with single clicks
  • User Information Overlay: Hover to see user moderation history
  • Comprehensive Dashboard: View all moderation actions with filtering
  • Export/Import: Backup and share moderation data

Well-being and Productivity

  • Break Reminders: Configurable work intervals and break notifications
  • Toxicity Scoring: Real-time assessment of content toxicity
  • Mindful Moments: Calming suggestions during breaks
  • Metrics Tracking: Monitor daily moderation activities

Customization and Integration

  • Multiple Analysis Modes: Choose between AI, rules, or hybrid
  • Custom Rules: Keyword-based moderation rules
  • Custom Policies: AI-powered policy definitions
  • Escalation Options: Send violations to various destinations
  • Keyboard Shortcuts: Quick actions with hotkeys

AI Integration Details

Gemini API Implementation

  • Model: Gemini 1.5 Flash for fast, accurate analysis
  • Safety Settings: Configured to block harmful content during analysis
  • Temperature: Low (0.1) for consistent, reliable results
  • Context Window: Up to 4,000 characters per analysis
  • Response Format: Structured JSON with violation details

Policy Framework

  • General T&S Policies: 8 standard policies covering major violation types
  • Custom Policies: User-defined policies with examples and severity levels
  • Policy Categories: Hate speech, harassment, violence, adult content, spam, IP violations, dangerous activities, privacy violations
  • Severity Levels: Low, medium, high with corresponding visual indicators

Analysis Modes

  1. Automatic (Hybrid): Combines AI analysis with keyword-based rules
  2. AI Only: Relies entirely on Gemini API for content analysis
  3. Rules Only: Uses traditional keyword matching and regex patterns

URL Context Features

  • Page Type Detection: Identifies social media, news, forums, blogs, etc.
  • Domain Analysis: Considers site reputation and content type
  • Content Extraction: Focuses on main content, avoiding navigation and ads
  • Screenshot Capture: Optional visual context for analysis

Next Steps (Future Enhancements)

  1. Machine Learning Improvements: Train custom models on user feedback
  2. Multi-language Support: Extend AI analysis to multiple languages
  3. Advanced Analytics: Detailed reporting and trend analysis
  4. Team Collaboration: Shared policies and team dashboards
  5. API Integrations: Connect with popular moderation platforms
  6. Mobile Support: Extend to mobile browsers
  7. Real-time Collaboration: Live moderation with team members
  8. Custom Model Training: Fine-tune AI models on specific content types
  9. Batch Analysis: Analyze multiple pages simultaneously
  10. Integration APIs: Connect with existing moderation workflows