The User Has Changed. Has Scholarly Publishing?
For scholarly publishers, the user has changed faster than the systems designed to serve them, and the gap between the two is where most of the difficult work is happening.
Seven Questions about CC Signals
With CC Signals, Creative Commons wants to help authors put rules on use of their licensed content for AI training. The problem is, one of the licenses already permits free and unlimited reuse of that content, for any and all purposes. And the licenses are irrevocable.
Guest Post — A Friendly Debate: Where Automation Will (And Should) Land in the Research Lifecycle
Today, we feature a friendly debate on the question: which parts of the research lifecycle should be more automated, and which require more of a human touch — and why?
Guest Post — When AI Helps Write Research: What Happens to Lived Experience?
In honor of Global Accessibility Awareness Day, today’s post shares results from an experiment with qualitative data analysis — demonstrating that, while AI can detect patterns, humans must decide what those patterns mean.
Filter, Not Funnel: What Zero-click Means for Brand and Engagement
The threat of zero-click search makes organizational brand more important than ever and presents a huge opportunity.
Guest Post — Is Growth Always Good News? 2026 Article Submission Surges
ScholarOne saw a submission surge in the first quarter of 2026 — evidence that AI is increasing the strain on peer review’s social contract with researchers.
Guest Post — Restoring Trust in Science: What Would Make a Difference?
Today’s guest post asserts that trust won’t be restored by “better messaging” alone, but via better incentives, more disciplined public communication, and really listening to the people who have walked away from us.
Guest Post — Love, Death & Robots: Scholarly Edition
Today’s guest post proposes a method for identifying, measuring, and managing robotic usage of scholarly content.
Zero-Click Readership: Are AI Overviews Changing the Way We Discover Research
Today’s post asks: If research is increasingly accessed through AI-generated summaries rather than via primary sources, then what does it mean to “engage with research” at all?
Guest Post — When Thinking Is Outsourced: A Warning from a Scientist Trained Before AI
Today’s guest post sounds an alarm about the use of AI in research and warns that no amount of computational efficiency can compensate for the loss of our capacity for human thought.
The Opportunities and Perils of Discovery: STM Releases its Trends 2030
The new STM Trends 2030 was released, symbolizing a world full of opportunities but also with dangers lying just below the surface for scholarly publishing.
Academic Publishing in the Age of AI: From Content to Trust
AI in science should not be viewed merely as a productivity tool layered onto existing workflows. It represents a structural shift in how knowledge moves through society, and therefore in how scientific authority is established and maintained.
The Journal Article Is Not the Job
There is more and more skepticism toward the role of publishers, a steady commoditization of publishing services, and growing fragmentation across the research ecosystem. If that is the case, the question is no longer what publishers do, but how that value is understood and extended.
Ask the Librarians: Recapping a Scholarly Kitchen Roundtable at the 2025 Charleston Library Conference
Today’s post recaps a lively roundtable conversation with library and information science experts who have been guest bloggers for TSK and active SSP participants.
AI Rollout Is a People Problem: A Pulse on All Things AI, Part 2
Faced with technological shifts not seen since the advent of the internet, Todd Toler and Angela Cochran posit that the biggest challenges for organizations building an AI strategy are human, not technology.