Signals x JMIR: Research Integrity Screening in Practice
Submission volumes are rising rapidly across scholarly publishing due to widespread availability of generative artificial intelligence (AI), persistent system incentives driving volume over quality or contribution, and even ill-intended actors exploiting these systems (e.g., papermills). Automated integrity screening, such as the indicators identified by Signals, offer a supportive check that helps to surface issues that are then examined by journal staff and editors. At JMIR Publications, “all applications are in use only with human oversight and decisions are made exclusively by people.”
