Date: Tuesday, September 15, 2026 4:00 AM - 5:00 AM - Information disorders, such as dis-, mis-, and malinformation, can lead to societal and economic harm. They are rapidly spread, extensively consumed on the web, and represent a threat to democracy. The aim of this work is to better understand the state of the art regarding information disorder detection approaches by conducting a reproducibility study and a cross-data and cross-model comparative analysis. we provide takeaways concerning reproducibility and stress the need for better AI detection