NISO Plus 2026 Global/Online

Retractions, whatever their cause, have long been a concern in scholarly communications. The adoption and evolution of AI technologies have made this problem even more urgent, driving growth in the number of fraudulent papers. At the same time, misinformation has led many to distrust science. In this session, speakers and participants will explore how to address retractions and removals, as well as how systems are developing to signal to users that an article or piece of research has met certain criteria and may be trusted.