Mastodawn

Bad papers, incorrect references, and superficial reviews existed long before #ChatGPT. AI did not invent poor scholarship – it simply made it scalable.

In our new paper, we argue that the debate should move beyond AI slop toward the broader concept of academic slop: low-quality scholarship produced without sufficient care, whether by humans or machines.

https://doi.org/10.1080/10875301.2026.2685154

#AcademicSlop #AISlop #ResearchIntegrity #AcademicPublishing #GenerativeAI

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Katayoun Asgarzadeh Jun 13

@serhii Your point lands perfectly. As I am working on my thesis, I frequently experience this exact issue with Claude. it gives me references that look incredibly real but simply don't exist (no DOI, no trace). I find that Google Scholar's AI search (https://scholar.google.com/scholar_labs/search) is much better at providing actual, verifiable sources. Does your analysis happen to cover sports science journals at all?

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Serhii Nazarovets Jun 14

@katayoun_asgarzadeh Thank you! That is precisely the kind of issue we have in mind. AI did not create the problem of unverified references, it simply makes it easier to produce them at scale. We did not specifically analyse sports science journals, as our paper takes a broader conceptual perspective across academia. But it would be a fascinating question for future research.