Story clustering compares article text, entities, topics, timing, and source metadata to decide which reports concern the same event. The grouped reports can support a single digest entry instead of showing many near-duplicates.
Clusters need careful thresholds because related stories are not always identical. A system should preserve individual source links, allow evolving events to split or merge appropriately, and avoid treating disagreement as a duplicate to be discarded.
ELI5
Story clustering puts articles about the same event into one group. It helps a news product avoid showing several versions of one announcement as if they were unrelated stories.
For example, five publishers may report the same company acquisition using different headlines. A clustering system can connect them, while still keeping every source link so readers can compare details and disagreements.
