GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation

Jutta Haider, Kristofer Rolf Söderström, Björn Ekström, Malte Rödl

Research output: Contribution to journalArticlepeer-review

Abstract

Academic journals, archives, and repositories are seeing an increasing number of questionable research papers clearly produced using generative AI. They are often created with widely available, general-purpose AI applications, most likely ChatGPT, and mimic scientific writing. Google Scholar easily locates and lists these questionable papers alongside reputable, quality-controlled research. Our analysis of a selection of questionable GPT-fabricated scientific papers found in Google Scholar shows that many are about applied, often controversial topics susceptible to disinformation: the environment, health, and computing. The resulting enhanced potential for malicious manipulation of society’s evidence base, particularly in politically divisive domains, is a growing concern.
Original languageEnglish
JournalMisinformation Review
DOIs
Publication statusPublished - 2024 Sept 3

Subject classification (UKÄ)

  • Information Studies

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