Relatio: Text Semantics Capture Political and Economic Narratives
Elliott Ash,
Germain Gauthier and
Philine Widmer
Political Analysis, 2024, vol. 32, issue 1, 115-132
Abstract:
Social scientists have become increasingly interested in how narratives—the stories in fiction, politics, and life—shape beliefs, behavior, and government policies. This paper provides an unsupervised method to quantify latent narrative structures in text documents. Our new software package relatio identifies coherent entity groups and maps explicit relations between them in the text. We provide an application to the U.S. Congressional Record to analyze political and economic narratives in recent decades. Our analysis highlights the dynamics, sentiment, polarization, and interconnectedness of narratives in political discourse.
Date: 2024
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Working Paper: RELATIO: Text Semantics Capture Political and Economic Narratives (2022) 
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Persistent link: https://EconPapers.repec.org/RePEc:cup:polals:v:32:y:2024:i:1:p:115-132_8
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