ACL Anthology · ACL 2026:acl:2026.acl-long.1970 · 记录 #1
A Structured Clustering Approach for Inducing Media Narratives
Rohan Das University of Colorado at BoulderAdvait DeshmukhAlexandria Leto University of Colorado at BoulderZohar Naaman University of Colorado at BoulderI-Ta Lee Meta PlatformMaria Leonor Pacheco University of Colorado at Boulder
来源日期（仅到月份） 2026-07
来源记录日期 2026-07
雷达观测 2026-11-01 21:48
摘要
Media narratives wield tremendous power in shaping public opinion, yet computational approaches struggle to capture the nuanced storytelling structures that communication theory emphasizes as central to how meaning is constructed. Existing approaches either miss subtle narrative patterns through coarse-grained analysis or require domain-specific taxonomies that limit scalability. To bridge this gap, we present a framework for inducing rich narrative schemas by jointly modeling events and characters via structured clustering. Our approach produces explainable narrative schemas that align with established framing theory while scaling to large corpora without exhaustive manual annotation.