Guest Post — AI Isn’t Going to Pay for Content … Part Two: The Path Forward
Today’s post paves a clear path forward in making AI work for publishers in the brave new agentic world.
Today’s post paves a clear path forward in making AI work for publishers in the brave new agentic world.
Only a negligible percentage of authors seem to actually be disclosing their AI use. Here’s why I think that’s the case.
Today’s guest post features an interview with William Gunn discussing how AI will (or won’t!) change the future of reference management tools.
Today’s guest author raises the question of whether a researcher submitting an article that was significantly drafted by an LLM without clear disclosure is effectively engaging in a contemporary form of ghost authorship.
Today’s guest post is the first in a two-part series — we begin by facing up to the fact that AI will not become the content windfall the way many in the publishing industry hope.
The first of SSP’s new polling initiative, Pulse Check, explores AI in scholarly publishing and set out to understand how our communities are navigating this monumental shift.
As with previous shifts in content discovery, today’s winners will be those who understand the strengths and limits of AI search, and design systems that let researchers move fluidly between precision and synthesis.
Today’s guest blogger challenges us to look beyond the hype of AI, and embrace AI agents handling platform grunt work, validation, and parallel processing that expands what we can accomplish with immediate and substantial productivity gains.
AI is presenting new challenges while also giving us tools to innovate in ways. The most successful publishers will be those willing to challenge the status quo.
At the STM innovation and Integrity days in London last week, it’s clear that research integrity has become an increasingly pressing issue. Many publishers are reporting significant increases in submissions of questionable legitimacy. perhaps now is the time for a new alliance between publishers, funders, institutions and researchers to protect the integrity of the scholarly record, before it’s too late.
The year in search at Google — is this the last one of these we’ll see?
As the search and user behavior landscapes undergo dramatic evolutions, marketers and others are left to wonder what SEO means for publishers now.
Today’s guest post spotlights a new scientific intelligence engine inspired by Thomas Kuhn’s theory of scientific revolution and the mission to give humanity the ability to see its own progress while it unfolds.
After five years of GetFTR, four librarians discuss how it is working in practice, its value to libraries and researchers, and what opportunities lie ahead.
Rather than just bolting on AI to existing publication workflows,there is a real opportunity to rethink and redesign them for human–AI collaboration. Some thoughts on what that looks like in practice.