Open access
Date
2022-12Type
- Working Paper
ETH Bibliography
yes
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Abstract
How do politicians use metaphors in their speeches? To provide evidence on this question, we apply a deep-learning-based metaphor detection model to a historical corpus of annual State of the State speeches given by U.S. governors, ranging from 1995 to 2022. Across 9 socio-economic topics, we present the following descriptive fi ndings. First, metaphors are most commonly used on fi scal and economic issues. Second, Democratic governors employ more metaphors on environmental issues relative to Republican governors, who in turn express more metaphors on moral values. Third, we con firm that the language used to express political metaphors is emotionally charged, with a degree of heterogeneity. Our emotion scores increase the most in presence of a metaphor on subjects related to the economy, fiscal issues, and moral values. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000586400Publication status
publishedJournal / series
Center for Law & Economics Working Paper SeriesVolume
Publisher
Center for Law & Economics, ETH ZurichSubject
NLP; Political language; Deep learning; US politics; MetaphorsOrganisational unit
09627 - Ash, Elliott / Ash, Elliott
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ETH Bibliography
yes
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