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RELATIO: Text Semantics Capture Political and Economic Narratives

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arxiv 2108.01720 v3 pith:TEYJ6UH7 submitted 2021-08-03 econ.GN q-fin.EC

classification econ.GNq-fin.EC
keywords narrativespoliticaltexteconomicrelatioanalysisanalyzeapplication
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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 United States 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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    Across 1,980 five-agent LLM runs on citizen-assembly topics, LLM groups match human procedural talk but show one-third the perspective diversity, weak topic-dependent consistency gains, and reversed convergence dynamics.

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