AI tool xFakeSci achieves 94% accuracy in identifying fake research papers

Researchers have developed a tool that could tell apart an original research article from one created by AI-chatbots, including ChatGPT.

In a set of 300 fake and real scientific papers, the AI-based tool, named 'xFakeSci', detected up to 94 per cent of the fake ones.

This was nearly twice the success rate seen among the more common data-mining techniques, the authors from the State University of New York, US, and Hefei University of Technology, China, said.

"... we introduce xFakeSci, a novel learning algorithm, that is capable of distinguishing ChatGPT-generated articles from publications produced by scientists," they wrote in the study published in the journal Scientific Reports.

For developing the AI-based algorithm, the researchers developed two distinct datasets. One of them contained almost 4,000 scientific articles taken from PubMed, an open database housing biomedical and life sciences research papers and maintained by the US National Institutes of Health.

The other consis