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
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.