Guest Post — All this AI Signal and Noise: What Deserves Action Now
Amidst the onslaught of industry and global changes, opportunities, and advancements, which signals deserve action now, which are context, and which are weather?
Guest Post — Defining Our Future: Reassessing What, How, and Why We Publish
Today, the co-chairs of the 2027 SSP Annual Meeting discuss the theme and the importance of gathering to discuss what, how, and why we publish.
From Content to Trusted Knowledge: Reflections on Frankfurt Book Fair 2026
Thoughts on the Frankfurt Book Fair 2026: how do we turn trusted content into useful knowledge — and help people act on it?
Guest Post — From an Accidental Title List to a Connected Supply Chain: My Years with KBART
Today’s guest post reflects on how implementation, multilingual discovery, and cross-industry collaboration turned a metadata file into a map of the scholarly information supply chain.
Guest Post – The Evolution of Eras: Agentic Discovery Makes Way for Agentic Consumption
Today’s guest post takes a deeper view into how researchers are currently engaging with AI and scholarly research, positing that we’re now seeing a shift from agentic discovery to consumption.
Are Libraries Prepared for the Second Digital Transformation of Distinctive Collections?
Academic and research libraries, as well as public libraries, historical societies, and other organizations, hold extensive collections of rare and unique materials, such as archival and manuscript collections. These materials form an essential part of humanity’s cultural and historical record, and they are the vital source material for many humanistic fields. I believe that a second digital transformation is at hand for distinctive collections. How can library leaders establish a strategy for their distinctive collections that is fit for purpose today?
When Your AI Knows You Too Well: Personalization, Sycophancy, and the Risk of an Intellectual Echo Chamber in AI-assisted Research
As AI research assistants learn our preferences, they may also become better at mirroring our assumptions. Avoiding that outcome will require more than a better prompt.
We Can Now Track AI-generated Content. It Doesn’t Solve the Real Problem.
Identifying AI content is now embedded in Claude models. It doesn’t solve the problem we have. It also creates others.
Guest Post — Your Next Reader Is a Machine, and We Are Ready
Machine readers replacing human readers can sound like a threat. Today’s post argues that our community is well prepared to face these challenges and seize the opportunities.
Guest Post — The Guild and the Gap: What One Rejection Revealed About the Cost of Credentialism
Today’s guest post asks: Do trust markers and other systematic fraud-prevention practices exclude unaffiliated authors from contributing to the scholarly record?
Guest Post — Where Do We Go From Here? How Scientific Societies are Thinking about the Proposed OMB Funding Rule
Today’s post features conversations with society publishing leaders resisting the proposed OMB rule change for federal research funding.
Guest Post — Beyond the Prestige: Why Scientific Impact is More Than a Numbers Game
Today’s guest post introduces the YCR-index as an alternative to measuring value with raw citation counts.
Attribution, Provenance, Reference, Citation, and AI for Research Applications – Understanding the Differences
Building robust citation and attribution into generative AI systems are foundational to usage, credit and trust. We need to expect more from AI.
Guest Post — Advancing Federated Identity in the Library Ecosystem
Federated identity should be a natural fit for library access. So why isn’t it?
Guest Post — Scholarly AI Search Shortcomings and the Need for Better Metadata
AI scholarly search tools often miss important literature due to incomplete metadata. Better full-text-derived metadata could significantly improve discovery.