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Showing posts from September, 2026

Generative AI Policies for Digital Publishing in 2026

  Generative AI policies for digital publishing should define permitted uses, disclosure, human accountability, confidentiality, intellectual property, image rules, and verification. The strongest policies separate authors, editors, reviewers, production teams, and publisher-owned systems because each role carries different risks. They also distinguish routine assistance from generated content rather than applying one unclear rule to every AI-enabled tool. Quick Answer A complete publishing policy should reserve authorship and final decisions for people, require disclosure of substantive AI use, prohibit confidential manuscript uploads to unapproved tools, require fact and source checks, and set separate rules for text, images, data, translation, references, and audio. Approved publisher systems also need governance, testing, security, and human oversight. Policy note: This article offers editorial and production guidance, not legal advice. Publishers should align each policy wit...

Diamond Open Access 2026: Costs & What Publishers Must Know

  Diamond OA removes author and reader fees. Here's what the 2026 funder push means for production costs, editorial capacity, and publishers weighing the switch.

AI-Use Policies for Authors: 2026 Publisher Guide

 Learn how publishers write AI-use policies for authors , covering disclosure, human authorship, copyright, confidentiality, images and verification.

AI Content Detection in Scholarly Publishing (2026 Guide)

 How COPE, ICMJE and the STM Integrity Hub screen for AI-generated manuscripts in 2026 — and where editorial judgement still has to lead.

Generative AI Policies for Digital Publishing in 2026

 Learn how digital publishers set generative AI policies for authors , editors and reviewers covering disclosure, confidentiality, rights and human oversight.

Journal Publishing Services Checklist for Academic Societies and Publishers

  A journal publishing services checklist helps academic societies and publishers compare providers using the same editorial, production, technology, and service criteria. Before awarding a contract, confirm who controls peer-review decisions, how manuscripts move through production, which formats and metadata are delivered, how quality is measured, and whether the vendor can scale without weakening standards. The right checklist turns a broad sales proposal into evidence you can test. Quick Answer Evaluate journal publishing services across four areas: editorial expertise, production control, publishing technology, and vendor governance. Require a representative pilot covering copyediting, complex typesetting, corrections, JATS XML, metadata, accessibility, and platform delivery. Compare responsibilities, acceptance criteria, exclusions, service levels, security, capacity, and quality reporting—not price or turnaround claims alone. How to Use This Journal Publishing Services Che...