TRACE Project Launches to Advance AI interoperability
The community comes together to launch TRACE, a project to improve generative AI systems’ interoperability, verifiability and usage tracking.
Guest Post — Six Ways to Close the Attribution Loop in Publishing
Today’s guest bloggers present a 6-part model for explaining spikes in manuscript submissions and better informing future publishing strategies.
AI and Scholarly Reading: Foxes versus Hedgehogs
Some readers are foxes, and some are hedgehogs. What kind of reader is AI, and how will that impact both the practice of science and the business of journal publishing?
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 — Self-Citation Is How Fields Grow
Today’s post provides a brief analysis of self-referencing and scholarly impact through the lens of stigmergy theory
Guest Post — AI Can Find the Article. Can It Tell Which Version It Used?
In this AI era, establishing trust and validating article versions with persistent identifiers (PIDs) is more important than ever.
From Hub to Hustle: The Scattered Social Landscape in Scholarly Comms
How has the social media landscape in scholarly communications changed, according to data from the recent Pulse Check, past community surveys, and checked real, live marketers?
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.
Making AI Use of Scholarly Content Traceable, Measurable, and Trustworthy: A Meeting Report from Cambridge Scholarly AI Workshop
A Cambridge workshop proposes new standard work to support provenance, attribution and metrics in scholarly communications AI tools.
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 — Fixing the Leaky Metadata Pipeline: A Conversation with the Creator of Research Nexus Score
Today, guest blogger Rob Johnson speaks with the creator of Research Nexus Score, and observes that metadata quality has gone from a niche concern to a sector-wide anxiety.
The Rise of China’s Scholarly Publishing System Part 2: Navigating China’s Publishing Ambition — Strategic Options for International Publishers
China’s publishing ambitions create genuine competitive pressures, but they also open opportunities for collaboration and highlight challenges that neither side can address alone
Data Reuse is the Sincerest Form of Flattery
A powerful way to quantify article quality has been hiding in plain sight. It’s time to bring data citations into the limelight.
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.
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.