Five ways to spot when a paper is a fraud

Science sleuths led by consultant Elisabeth Bik in San Francisco, California shared common-sense tips for identifying fraudulent research papers on February 25, 2026, as peer reviewers face an influx of questionable manuscripts from paper mills and increasingly convincing AI-generated content. The growing sophistication of fraudulent research poses significant challenges to the integrity of scientific literature, with both traditional paper mills and advanced artificial intelligence systems producing content that can be difficult to distinguish from legitimate work. Peer reviewers are being inundated with these questionable manuscripts, creating an overwhelming burden on the scientific community's quality control systems. While the volume of potentially fraudulent papers continues to rise, reviewers must maintain rigorous standards to ensure only valid research gets published. This has created an urgent need for effective detection methods that can identify red flags in research submissions without compromising the peer review process itself. A variety of AI tools have emerged designed to detect fraudulent elements in academic papers, though these solutions come with significant limitations. Elisabeth Bik, a science-integrity consultant based in San Francisco, California, suggests these tools are probably better deployed by journal publishers rather than individual reviewers. Her recommendation stems from concerns about confidentiality, as feeding unpublished content into AI detection tools can compromise research integrity and is generally frowned upon during the peer review process.