While DSA3 focuses on exemplars that support the collection’s overall topic, DSA4 selects *novel* exemplars that meet the overall topic. DSA4 does not include DSA3’s outlier removal steps. Both apply topical clustering via TF-IDF and K-means, but differ in scoring. 🧵(11/)