Related: AI Prompts Hidden in Academic Research Papers
A new study has found an organised underground network enabling fraudulent research and increasingly undermining the integrity of science.
Researchers from Northwestern University found that the publication of fraudulent scientific work is now outpacing the growth of legitimate research.
This network involves 'paper mills', brokers, and compromised journals that sell authorship slots and publish low-quality manuscripts with fabricated data, manipulated or stolen images, and plagiarised content.
The study found academics use various strategies, including colluding to publish papers, paying for authorship, and utilising 'sham peer-review' processes to get fraudulent work accepted.
The study calls for enhanced scrutiny, improved detection methods, and a radical restructuring of scientific incentives to combat this fraud, also highlighting the potential future threat from generative AI.