The Newsroom AI Glossary: Terms Every Editor Should Know
From deepfakes to C2PA, provenance to GPAI, here are the key AI and authenticity terms every editor needs to understand to lead their newsroom confidently.
“Documenting the structural shifts of the fourth estate since the dawn of the digital age.”
Originally published by the World Editors Forum, Editors Weblog has covered the transformation of global journalism for over two decades. Today, we focus on the most consequential shift yet: artificial intelligence in the newsroom.
From deepfakes to C2PA, provenance to GPAI, here are the key AI and authenticity terms every editor needs to understand to lead their newsroom confidently.
From deepfakes to C2PA, provenance to GPAI, here are the key AI and authenticity terms every editor needs to understand to lead their newsroom confidently.
The US Copyright Office has consistently refused to register purely AI-generated works. We explain what the law currently says, what it means for newsrooms, and where the legal boundaries actually sit.
AI watermarking embeds hidden signals into machine-generated content to flag its origin. Here is what the technology actually does, how it differs from content credentials, and where it falls short for newsrooms.
Voice cloning technology can replicate a person's voice from a short audio sample. Here is what newsrooms need to understand about how it works and how to detect it.
A high AI detection score is not a verdict. Here is how editors should interpret detection reports, understand confidence intervals, and avoid the most damaging mistakes.
An explainer for editors on how large language models are trained, what content feeds them, and why publishers are taking legal and commercial action over the use of their journalism.
How detectors work, why they disagree, and what actually holds up.
Start reading →C2PA, Content Credentials, and the standards behind verifiable media.
Start reading →Detecting and responding to synthetic video, audio, and images.
Start reading →Copyright fights, licensing deals, crawlers, and AI-era traffic.
Start reading →Regulation, disclosure, and editorial guidelines for the AI newsroom.
Start reading →Revisiting our coverage from the past two decades. How our analysis of earlier shifts predicted the current platform fragmentation we see today.
Explore ArchiveVoice cloning technology can replicate a person's voice from a short audio sample. Here is what newsrooms need to understand about how it works and how to detect it.
A high AI detection score is not a verdict. Here is how editors should interpret detection reports, understand confidence intervals, and avoid the most damaging mistakes.
An explainer for editors on how large language models are trained, what content feeds them, and why publishers are taking legal and commercial action over the use of their journalism.
A running guide to where the EU AI Act stands in 2026: the August deadline, the new content-labeling rules, and what they mean for publishers.
Synthetic media is content created or altered by AI. Here is what the term covers, how it is made, and why it matters for newsrooms.
Forecasting major shifts through 2031 - from universal provenance to AI-native newsrooms.