Publishing with Integrity
A weekly newsletter that discusses scholarly research with a strong focus on research integrity
Weekly newsletter | Published on LinkedIn
17 Sep 2026 | Edition 025
Adding Authors After Submission: How Difficult Should It Be?
Authors sometimes need to be added to, removed from or reordered on a paper after submission. There can be perfectly legitimate reasons for doing this. But authorship changes can also be a warning sign of gift authorship, authorship sales or paper-mill activity. How difficult should ...
10 Sep 2026 | Edition 024
Should Authors Have to Prove Who They Are?
Last week I asked whether journals really know who their authors are. In most cases, they do not. If that is a weakness in scholarly publishing, should authors have to prove who they are before their work is published? ...
03 Sep 2026 | Edition 023
Do Journals Actually Know Who Their Authors Are?
Authorship matters enormously in academia. It influences careers, promotions, grants, rankings and reputations. Yet when we submit a paper, how much does the journal really know about who we are? In an age of paper mills, authorship-for-sale and organised research fraud, is it still enough ...
27 Aug 2026 | Edition 022
Your Paper Was Published. Can the Journal Delete It?
Retraction does not normally make a published paper disappear. Even papers containing serious errors, fabricated data or plagiarism usually remain part of the scholarly record, clearly marked as retracted. When, if ever, should a journal be able to delete a published article completely? This edition ...
20 Aug 2026 | Edition 021
Is Peer Review Modern-Day Slavery?
Peer review depends on academics giving their time and expertise without payment. For some, that is simply part of academic citizenship. For others, it is exploitation. But how far can that argument reasonably be taken, and how much unpaid labour should scholarly publishing expect? ...
13 Aug 2026 | Edition 020
Should AI Be Allowed to Peer Review Your Paper?
Generative AI could make peer review faster, more systematic and less burdensome for reviewers. It could also produce inaccurate, excessively long reports while concealing how much of the reviewer’s judgement has been delegated to AI. If AI is already entering peer review, perhaps the real ...