Research

Systematic tracking and analysis of AI-generated content patterns across children's digital platforms, with focus on cross-platform mutation and emerging safeguarding risks.

Active Research Streams

Platform Analysis

YouTube AI Content Evolution Tracking

January 2026 • Ongoing

Systematic monitoring of 347 YouTube channels producing AI-generated content targeting children, tracking evolution patterns from innocent material toward concerning themes.

  • Metadata analysis of 15,000+ videos
  • Thumbnail progression documentation
  • Cross-channel network mapping
  • Content mutation pattern identification
Active Monitoring
Cross-Platform Study

Elsagate-ification Framework Development

December 2025 • Ongoing

Comprehensive framework examining how innocent content systematically evolves into concerning material across TikTok, YouTube, and Roblox platforms through algorithmic optimization.

  • Historical pattern analysis from 2017-present
  • Platform-specific mutation pathways
  • Algorithmic amplification mechanisms
  • Safeguarding implications assessment
Active Development
Network Mapping

AI Content Network Structures

November 2025 • Phase 2

Documentation and analysis of coordinated AI content networks, examining posting patterns, engagement optimization strategies, and cross-platform presence.

  • Network topology mapping
  • Upload schedule correlation analysis
  • Content template identification
  • Coordination indicator tracking
In Progress

Planned Research

Emerging Platform

Roblox AI-Generated Experience Tracking

Q1 2026 • Planning

Investigation of AI-assisted content creation tools within Roblox environments and their implications for user-generated content moderation.

Planned
Comparative Study

Instagram Reels vs YouTube Shorts: AI Content Strategies

Q2 2026 • Planning

Comparative analysis of how AI content networks adapt their strategies across different short-form video platforms.

Planned