Technical briefings and analysis reports on AI-generated content patterns, platform risks, and safeguarding implications for professional audiences.
Technical briefings are available to safeguarding professionals, researchers, and educational institutions. Each briefing includes methodology documentation, data sources, and practical implications for child protection contexts. Contact us for access or to commission specific research.
Current portfolio of completed research briefings and analysis.
Systematic safety assessment of 59 AI companion chatbot platforms. 85% engaged with a self-disclosed 14-year-old user. 91.5% rated Poor or Critical for security infrastructure. Responsible disclosure completed with UK regulators prior to publication.
Download PDFDocuments the cognitive bandwidth reallocation model underpinning DigiShield's AI-augmented research methodology. Addresses transparency, reproducibility, and ethical considerations for AI-assisted safeguarding research — with direct application to the No Guardrails assessment programme.
Download PDFExamination of mascot horror genre characteristics, platform distribution patterns (YouTube, Roblox, TikTok), and safeguarding implications. Includes analysis of age-gating circumvention and merchandising normalization.
Request AccessAnalysis of Halloween-themed content across children's platforms including Fortnitemares event assessment, mascot horror seasonal amplification, and platform-specific engagement strategies during October period.
Request AccessPreliminary investigation of AI-generated content targeting children on YouTube (standard platform, not YouTube Kids). Documents content characteristics, channel network patterns, and initial observations of content mutation indicators.
Request AccessAnalysis of thumbnail design patterns in educational and informational YouTube content, documenting use of increasingly violent or disturbing imagery to optimize engagement. Examines how educational creators adopt sensationalist visual strategies.
Request AccessActive research streams planned for publication.
Systematic monitoring of 347 YouTube channels producing AI-generated content targeting children. Tracking content evolution patterns, network coordination indicators, and cross-platform migration pathways.
In DevelopmentConceptual framework examining how innocent content systematically evolves into concerning material through algorithmic optimization. Applies evolutionary biology principles to digital content mutation patterns.
In DevelopmentProspective study using Chapter 5 release as controlled observation point for tracking content evolution from launch through subsequent platform proliferation and mutation phases.
PlannedDigiShield Kids accepts commissions for targeted research briefings addressing specific safeguarding contexts, institutional needs, or policy requirements. Contact us to discuss scope, methodology, and delivery timelines for bespoke intelligence products.