Profiling human vulnerability to online scams: An integrative trait-based and cross-validated predictive model

Researchers developed a predictive model to identify which people are most vulnerable to online scams by analyzing personality traits and other characteristics. The study, published in November 2026, used cross-validation (a technique where a model is tested on different sets of data to ensure it works reliably) to build a model that can help predict susceptibility to scams before they happen. This research could help protect people by identifying who might need extra education or awareness about scam tactics.