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Emotion and Reason in Political Language
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In: The Economic Journal, 132 (643) (2022)
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Text Semantics Capture Political and Economic Narratives ...
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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 a novel, unsupervised method to quantify latent narrative structures in text, drawing on computational linguistics tools for clustering coherent entity groups and capturing relations between them. After validating the method, 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. ... : Center for Law & Economics Working Paper Series, 2021 (11) ...
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Keyword:
Memes; Narratives; Natural Language Processing
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URL: http://hdl.handle.net/20.500.11850/504025
https://dx.doi.org/10.3929/ethz-b-000504025
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| 5 |
Text Semantics Capture Political and Economic Narratives
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In: Center for Law & Economics Working Paper Series, 2021 (11) (2021)
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Dimensions of Mind in Semantic Space
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In: Center for Law & Economics Working Paper Series, 2021 (14) (2021)
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Machine Extraction of Tax Laws from Legislative Texts
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In: Proceedings of the Natural Legal Language Processing Workshop 2021 (2021)
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Automated fact-value distinction in court opinions
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In: ISSN: 0929-1261 ; EISSN: 1572-9990 ; European Journal of Law and Economics ; https://hal.archives-ouvertes.fr/hal-03174376 ; European Journal of Law and Economics, Springer Verlag, 2020, 50 (3), pp.451-467. ⟨10.1007/s10657-020-09645-7⟩ (2020)
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| 9 |
Unsupervised Extraction of Workplace Rights and Duties from Collective Bargaining Agreements ...
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| 12 |
Unsupervised Extraction of Workplace Rights and Duties from Collective Bargaining Agreements
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In: 2020 International Conference on Data Mining Workshops (ICDMW) (2020)
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| 13 |
More Laws, More Growth? Evidence from U.S. States
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In: Center for Law & Economics Working Paper Series, 15/2020 (2020)
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| 14 |
Automated fact-value distinction in court opinions
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In: European Journal of Law and Economics, 50 (3) (2020)
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| 15 |
Stereotypes in High-Stakes Decisions : Evidence from U.S. Circuit Courts
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| 16 |
Stereotypes in High-Stakes Decisions : Evidence from U.S. Circuit Courts
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