The Peer-to-Processor Review

A predatory journal fabricated papers and listed high-profile researchers — including Eric Topol — as authors without consent.

The BuyTheBy dataset offers the first systematic look at the economics of fake authorship — a shadow market where AI-generated papers increasingly serve as the product being sold.

NISO has released slides from its 2025 Plus Baltimore conference, covering AI in scholarly communications, trust markers for research integrity, and open infrastructure.

Cactus Communications has embedded Imagetwin's AI-powered image integrity detection into its Paperpal Preflight tool, adding automated screening for image manipulation at the pre-submission stage.

A Scholarly Kitchen essay argues that AI is not merely a workflow efficiency tool for academic publishing — it is a structural transformation of how knowledge circulates and how scientific authority is conferred.

Knowledgespeak's editorial board argues that scholarly publishing is undergoing a fundamental monetization split: the traditional model built around validated content is being disrupted as AI shifts where and how value is captured — from content to data, services, and infrastructure.

A commentary in American Ethnologist spotlights growing norms around generative AI disclosure in scholarly authorship.

Peer Review Week 2026's theme — 'Peer Review Capacity: Volume, Speed and Quality' — reflects mounting concern about whether the traditional peer review system can handle the explosion of submissions in the AI era.

There is growing skepticism toward the role of publishers, a steady commoditization of publishing services, and fragmentation across the research ecosystem driven in part by AI.

Springer Publishing Company joins the growing cohort of publishers using Cashmere to manage AI content licensing — specifically for healthcare education content.

Springer Publishing Company and Cashmere, the pioneering platform for AI content licensing and infrastructure, today announced a strategic partnership that will extend healthcare education content into AI systems.

Retraction Watch managing editor Kate Travis testified before the U.S.