🔍 Categorical labels can underestimate the performance of generative systems by massive amounts: half the errors or more.

📊Severe spurious correlations and ambiguities affect the majority of datasets in the literature. For example, most datasets have many examples where one can’t conclusively assess veracity at all.

💡 Strong data and eval are essential for real-world progress. In "A Guide to Misinformation Detection Data and Evaluation"—to be presented at KDD 2025—we conduct the largest survey to date in this domain: 75 datasets curated, 45 accessible ones analyzed in depth. Key findings👇

Very happy to announce that our team has been placed 3rd in the #DataJamAgainstExploitation organized by @ICPC_CIPC, @UNODC_HTMSS, @fpasoslibres and @IBMCanada for developing tools for combating #HumanTrafficking in #Canada 🇨🇦