What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric - supplemental material

doi:10.4121/cd43b76a-850e-4222-ab81-5a20b7b1b93d.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/cd43b76a-850e-4222-ab81-5a20b7b1b93d
Datacite citation style:
Liscio, Enrico; Araque, Oscar; Gatti, Lorenzo; Constantinescu, Ionut; C.M. (Catholijn) Jonker et. al. (2023): What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric - supplemental material. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/cd43b76a-850e-4222-ab81-5a20b7b1b93d.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Raw results and crowd task material for the paper "What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric", published at ACL '23. This repository contains two main folders. First, the instructions and informed consent used to perform the crowd study described in the paper, where crowd workers are asked to compare word bubbles describing moral values in a domain. Second, the results of the pairwise comparisons performed with the seven models trained on the MFTC datasets and the comparison of the results with the crowd annotations.

The code to generate the results is available at this DOI: 10.4121/1e71138c-be26-4652-971a-48a84837df8e

The seven models are available at this DOI: 10.4121/646b20e3-e24f-452d-938a-bcb6ce30913c

history
  • 2023-12-18 first online, published, posted
publisher
4TU.ResearchData
format
zip file containing *.csv and *.png
funding
  • Hybrid Intelligence Center (a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research).
  • European Union's Horizon 2020 research and innovation program (grant code STG–677576) European Research Council
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems
Universidad Politécnica de Madrid, Departamento de Ingeniería de Sistemas Telemáticos
University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Human Media Interaction (HMI)
ETH Zürich Department of Computer Science,
ISI Foundation, Data Science Laboratory
Leiden University, Leiden Institute of Advanced Computer Science

DATA

files (1)