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<a href="https://www.forbes.com/sites/johndrake/2026/04/30/ai-slop-is-flooding-academic-journals-a-top-journal-measured-it/">https://www.forbes.com/sites/johndrake/2026/04/30/ai-slop-is-flooding-academic-journals-a-top-journal-measured-it/</a></div>
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The term “AI slop” usually describes the low-quality images and text that clutter social media feeds. It has now reached the peer review system that governs what counts as scientific knowledge.</div>
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Submissions to <i>Organization Science</i>, one of the top journals in management research, have risen 42% since the launch of ChatGPT. The writing has gotten worse.</div>
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A <a href="https://doi.org/10.1287/orsc.2026.ed.v37.n3" target="_blank" id="OWA5568462d-0fae-73d9-9a7f-15a91f109121" class="OWAAutoLink" rel="nofollow noopener noreferrer" data-ga-track="ExternalLink:https://doi.org/10.1287/orsc.2026.ed.v37.n3" style="color: rgb(0, 56, 145);">new
study</a> from the journal’s editorial team finds that AI-generated manuscripts are harder to read, more jargon laden and more likely to be rejected than those written by humans. Meanwhile, over 30% of the expert peer reviews that journals routinely use to
decide what to publish now show detectable AI use, and editors report that those reviews are essentially uninformative.</div>
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The technology that was supposed to make science more productive is, for the moment, making it harder to evaluate. Undoubtedly, this is a snapshot of a system in transition, not a permanent verdict on AI in research. But the snapshot is worth a close look.</div>
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