IOPP's new Duplicate Review Checker. Credit: IOP Publishing IOP Publishing (IOPP) has developed a machine-learning powered tool to help detect duplicate peer review reports, addressing a growing threat to research integrity in scholarly publishing. Duplicate peer reviews (where the same reviewer report is sent for multiple submissions) are problematic because they fail to provide a unique and critical assessment of a manuscript, making the peer review unreliable. The most egregious examples of this are "review mills," organizations churning out fake reviews, often to inflate citations for a paying customer. Until now, such patterns in reviewer reports have been difficult to identify, limiting publishers' ability to take timely action. The Duplicate Review Checker (DRC) changes this by automatically flagging duplicate review activity immediately and directly to editorial teams, enabling early interventions to safeguard the integrity of peer review.…