Relatio : Text Semantics Capture Political and Economic Narratives

Elliott Ash · Germain Gauthier · Philine Widmer

32 citations0/0 files storedPolitical Analysis

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Computational and Text Analysis Methods Topic Modeling Sentiment Analysis and Opinion Mining

Abstract

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.

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2016Measuring Economic Policy Uncertainty*1991The Narrative Construction of Reality 1988Narrative knowing and the human sciences 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts 1980The Value of Narrativity in the Representation of Reality 2019Text as Data 2009How to Analyze Political Attention with Minimal Assumptions and Costs 2017Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach*

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