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.
AI scholarly search tools often miss important literature due to incomplete metadata. Better full-text-derived metadata could significantly improve discovery.
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.
Today we announce The Scholarly Kitchen’s new style guide for Chefs and guest bloggers alike.
Today’s guest post proposes a method for identifying, measuring, and managing robotic usage of scholarly content.
Today, members of SSP’s 48th Annual Meeting Program Committee share reflections for all attendees — including those joining the Highlights Webinar on June 17, 2026.
Today, co-chairs for SSP’s 48th Annual Meeting Planning Committee discuss what they’re most excited to deliver in this year’s program.
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.
A new STM Association paper seeks to foster a discussion about how GenAI systems can reliably incorporate scholarly research.
Today’s post is an urgent call to push back against global trends in academic censorship and threats to free speech in scholarly communications.
In 2018 at SSP New Directions, Neil Blair Christensen and Angela Cochran participated in an Oxford debate on the use of AI in Peer Review. Today, they revisit their main points and reflect on where they think we are today and will likely be in another 8 years.
Today’s post explores issues facing scholarly publishers around AI — using it, layering it, competing against it, and licensing to it.
Today’s guest blogger identifies signals of how fractured the scholarly research ecosystem has become, and how the value publishers provide is increasingly questioned, dismissed, or overlooked by key stakeholders.
Today’s guest bloggers explain how semantic enrichment of scholarly content allows publishers to shape the next generation of technology by making it indispensable to AI.
Today’s guest bloggers spotlight a gap in traditional usage reporting, third-party AI usage, and recommend steps needed to recover missing usage data.
Current AI disclosure guidelines are failing and driving AI use underground rather than making it transparent. In this follow-up post, I turn to the more challenging question: what publishers should do about it.