cff-version: 1.2.0
abstract: "<p>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.</p><p>The code to generate the results is available at this DOI: 10.4121/1e71138c-be26-4652-971a-48a84837df8e</p><p>The seven models are available at this DOI: 10.4121/646b20e3-e24f-452d-938a-bcb6ce30913c</p>"
authors:
  - family-names: Liscio
    given-names: Enrico
    orcid: "https://orcid.org/0000-0002-8285-5867"
  - family-names: Araque
    given-names: Oscar
    orcid: "https://orcid.org/0000-0003-3224-0001"
  - family-names: Gatti
    given-names: Lorenzo
    orcid: "https://orcid.org/0000-0003-2422-5055"
  - family-names: Constantinescu
    given-names: Ionut
    orcid: "https://orcid.org/0009-0003-5494-0161"
  - family-names: Jonker
    given-names: C.M. (Catholijn)
    orcid: "https://orcid.org/0000-0003-4780-7461"
  - family-names: Kalimeri
    given-names: Kyriaki
    orcid: "https://orcid.org/0000-0001-8068-5916"
  - family-names: Murukannaiah
    given-names: Pradeep K.
    orcid: "https://orcid.org/0000-0002-1261-6908"
title: "What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric - supplemental material"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/cd43b76a-850e-4222-ab81-5a20b7b1b93d.v1
license: CC BY 4.0
date-released: 2023-12-18