“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 verification workflows to editorial guidelines on synthetic media, newsrooms are rebuilding their editorial culture around AI. Here is what the publicly observable shifts tell us.
Grammarly's AI detection tool is widely used, but how reliable is it for editorial decisions? We look at the technology, its known limitations, and what the research says about accuracy.
ElevenLabs, Descript, Resemble AI, and Play.ht have made voice cloning faster and cheaper than ever. We look at what these tools can do, and why every newsroom should be thinking carefully about the risks they introduce.
The EU AI Act sorts every AI system into one of four risk tiers, each carrying different obligations. Here is what those categories mean for publishers and newsrooms.
As AI music tools flood the market, a fundamental legal question remains unresolved: who holds the copyright to a song a machine composed? We break down the current state of the law and what it means for newsrooms covering the creative industries.
What does a Content Credentials workflow actually look like inside a newsroom? We walk through a generalised, illustrative example to show how the C2PA standard operates from capture to publication.
Perplexity, burstiness, and token probability explained in terms editors can actually use when evaluating detection tools and setting newsroom policy.
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 ArchiveGrammarly's AI detection tool is widely used, but how reliable is it for editorial decisions? We look at the technology, its known limitations, and what the research says about accuracy.
The painful lessons of the paywall era, from the New York Times metered model to the collapse of free-content experiments, offer a surprisingly clear map for navigating the AI disruption now reshaping newsrooms.
ElevenLabs, Descript, Resemble AI, and Play.ht have made voice cloning faster and cheaper than ever. We look at what these tools can do, and why every newsroom should be thinking carefully about the risks they introduce.
The EU AI Act sorts every AI system into one of four risk tiers, each carrying different obligations. Here is what those categories mean for publishers and newsrooms.
As AI music tools flood the market, a fundamental legal question remains unresolved: who holds the copyright to a song a machine composed? We break down the current state of the law and what it means for newsrooms covering the creative industries.
What does a Content Credentials workflow actually look like inside a newsroom? We walk through a generalised, illustrative example to show how the C2PA standard operates from capture to publication.