Our Methodology

"Establishing a forensic standard for the era of synthetic media."

The Verification Pipeline

GNG employs a multi-layered verification strategy combining algorithmic detection with human intelligence.

1. AI Detection

We utilize forensic tools to analyze visual artifacts, metadata anomalies, and diffusion patterns characteristic of generative AI.

2. Expert Review

Every item is cross-referenced by analysts to confirm the absence of real-world evidence and trace the original machine-generated source.

3. Archival

Confirmed cases are cataloged with ClaimReview schema tags for global transparency across researchers and search engines.

Forensic Indicators

•Frequency Domain Analysis: Checking for "checkerboard artifacts" in the image's spectrum.
•Biological Consistency: Evaluating anatomical accuracy, eye reflections, and hair-line rendering.
•Metadata Forensics: Analyzing EXIF data for evidence of AI-generation software or inconsistent timestamps.

Ethical Transparency

GNG follows the International Fact-Checking Network (IFCN) principles. We remain non-partisan and focused strictly on the technical authenticity of media.

Standard Reference

GNG-VERIFY-PROTOCOL-V2.4