Fact-checking what matters: How a harms-based model for selecting claims works

Not all misinformation consequences are equal. Faced by hundreds of thousands of false claims online and offline every day, fact checkers need a robust way to identify the important ones to check. This scalable model—used by fact checkers in trials in Europe, Africa, and the Middle East since 2024—helps forecast the potential imminent and cumulative harms of different false claims and is an early warning system for society that focuses efforts on factually false claims that cause real-world harms. This is how it works.