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Moral rhetoric in discrete choice models: a Natural Language Processing approach
This paper proposes a new method to combine choice- and text data to infer moral motivations from people’s actions. To do this, we rely on moral rhetoric, in other words, extracting moral values from verbal expressions with Natural Language Processing techniques. We use moral rhetoric based on a wel...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996575/ https://www.ncbi.nlm.nih.gov/pubmed/37359973 http://dx.doi.org/10.1007/s11135-023-01625-8 |
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author | Szép, Teodóra van Cranenburgh, Sander Chorus, Caspar |
author_facet | Szép, Teodóra van Cranenburgh, Sander Chorus, Caspar |
author_sort | Szép, Teodóra |
collection | PubMed |
description | This paper proposes a new method to combine choice- and text data to infer moral motivations from people’s actions. To do this, we rely on moral rhetoric, in other words, extracting moral values from verbal expressions with Natural Language Processing techniques. We use moral rhetoric based on a well-established moral, psychological theory called Moral Foundations Theory. We use moral rhetoric as input in Discrete Choice Models to gain insights into moral behaviour based on people’s words and actions. We test our method in a case study of voting and party defection in the European Parliament. Our results indicate that moral rhetoric have significant explanatory power in modelling voting behaviour. We interpret the results in the light of political science literature and propose ways for future investigations. |
format | Online Article Text |
id | pubmed-9996575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-99965752023-03-09 Moral rhetoric in discrete choice models: a Natural Language Processing approach Szép, Teodóra van Cranenburgh, Sander Chorus, Caspar Qual Quant Article This paper proposes a new method to combine choice- and text data to infer moral motivations from people’s actions. To do this, we rely on moral rhetoric, in other words, extracting moral values from verbal expressions with Natural Language Processing techniques. We use moral rhetoric based on a well-established moral, psychological theory called Moral Foundations Theory. We use moral rhetoric as input in Discrete Choice Models to gain insights into moral behaviour based on people’s words and actions. We test our method in a case study of voting and party defection in the European Parliament. Our results indicate that moral rhetoric have significant explanatory power in modelling voting behaviour. We interpret the results in the light of political science literature and propose ways for future investigations. Springer Netherlands 2023-03-09 /pmc/articles/PMC9996575/ /pubmed/37359973 http://dx.doi.org/10.1007/s11135-023-01625-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Szép, Teodóra van Cranenburgh, Sander Chorus, Caspar Moral rhetoric in discrete choice models: a Natural Language Processing approach |
title | Moral rhetoric in discrete choice models: a Natural Language Processing approach |
title_full | Moral rhetoric in discrete choice models: a Natural Language Processing approach |
title_fullStr | Moral rhetoric in discrete choice models: a Natural Language Processing approach |
title_full_unstemmed | Moral rhetoric in discrete choice models: a Natural Language Processing approach |
title_short | Moral rhetoric in discrete choice models: a Natural Language Processing approach |
title_sort | moral rhetoric in discrete choice models: a natural language processing approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996575/ https://www.ncbi.nlm.nih.gov/pubmed/37359973 http://dx.doi.org/10.1007/s11135-023-01625-8 |
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