Analysis Methodology

This dashboard analyzes documents and images from the US House Oversight Committee's release of Epstein-related materials. The analysis is performed using AI models to extract structured information.

Analysis Types:

• Text Analysis: Extracts entities, themes, relationships, and identifies potential illegal activity or blackmail indicators from text documents.
• Image Analysis: Classifies images, detects people, identifies objects, and assesses scene context and sensitivity.

Key Features:

• Entity extraction (people, organizations, locations)
• Theme identification
• Relationship mapping
• Illegal activity severity assessment
• Blackmail indicator detection
• Content type classification (first-hand vs. shared content)
• Image person detection and identification
• Sensitivity level assessment for images

The following prompt is used to analyze text documents:

Prompt file not available

The following prompt is used to analyze image documents:

Prompt file not available

• All analysis is automated and performed by AI models. Results should be independently verified.
• Entity recognition may miss or misidentify some entities.
• Illegal activity detection is experimental and may have false positives or negatives.
• Image analysis relies on AI vision models which have known limitations.
• Some documents may not have been fully processed due to technical constraints.
• This tool distinguishes between first-hand evidence and shared content (news articles, court documents), but classification is not perfect.