Papers by Alexandria Leto

2 papers
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News (2024.acl-long)

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Challenge: a lack of objective measures to evaluate editorial choices makes research difficult . a computational framework is proposed to analyze newsworthy topics with objective measures .
Approach: They propose a computational framework to analyze editorial choices in newsworthy topics . they focus on the economy because economic indicators provide a relatively easy way to determine selection and framing .
Outcome: The proposed framework analyzes editorial choices on newsworthy topics . it finds that there are topics where objective measures exist in the form of supporting data .
A Structured Clustering Approach for Inducing Media Narratives (2026.acl-long)

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Challenge: Existing approaches to modeling media narratives miss subtle narrative patterns through coarse-grained analysis or require domain-specific taxonomies that limit scalability.
Approach: They propose a framework for inducing rich narrative schemas by jointly modeling events and characters via structured clustering.
Outcome: The proposed framework produces explainable narrative schemas that align with established framing theory while scaling to large corpora without exhaustive manual annotation.

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