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Relatio : Text Semantics Capture Political and Economic Narratives

Year: 2023
Type: article
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.
DOI: 10.1017/pan.2023.8
Language: English
Open Access status: hybrid
Estimated APC paid: $3,255
Funders: National Science Foundation, University of Warwick, Agence Nationale de la Recherche, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Labex Ecodec, Core Research for Evolutional Science and Technology
Awards: G1576155384, G255783604, G334658794, Réguler l'économie au service de la société, G5750979629, Mining Narratives from Large Text Corpora
OpenAlex ID: W4367313020
FWCI: 14.45
Cites: 44
Cited by: 32
Related to: 10