Rafał Olszowski

Benchmark-Task Heterogeneity in Misinformation-Related and Human–AI Text Classification

Stylometric features and frozen sentence-transformer embeddings are widely used as low-cost inputs for misinformation-related text classification, but heterogeneous benchmark tasks are rarely compared under a common protocol. We evaluated term frequency–inverse document frequency (TF-IDF), a 22-feature stylometric batt...