Automated Classification of Modes of Moral Reasoning in Judicial Decisions
Daniel L. Chen,
Nischal Mainali and
No 18-979, TSE Working Papers from Toulouse School of Economics (TSE)
What modes of moral reasoning do judges employ? We construct a linear SVM classifier for moral reasoning mode trained on applied ethics articles written by consequentialists and deontologists. The model can classify a paragraph of text in held out data with over 90 percent accuracy. We then apply this classifier to a corpus of circuit court opinions. We show that the use of consequentialist reasoning has increased over time. We report rankings of relative use of reasoning modes by legal topic, by judge, and by judge law school.
References: View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
https://users.nber.org/~dlchen/papers/Automated_Cl ... dicial_Decisions.pdf Full text (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:tse:wpaper:33157
Access Statistics for this paper
More papers in TSE Working Papers from Toulouse School of Economics (TSE) Contact information at EDIRC.
Bibliographic data for series maintained by ().