News is More than a Collection of Facts: Moral Frame Preserving News Summarization - model

DOI:10.4121/c45e4c12-03bb-472d-bd22-fa943e5b0df0.v1
The DOI displayed 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/c45e4c12-03bb-472d-bd22-fa943e5b0df0

Datacite citation style

Liscio, Enrico; Lorandi, Michela; Murukannaiah, Pradeep K. (2025): News is More than a Collection of Facts: Moral Frame Preserving News Summarization - model. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c45e4c12-03bb-472d-bd22-fa943e5b0df0.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

We generate news summaries that preserve moral framing of the original article. In one of the tested approaches, we train a classifier to perform token-level classification of moral-laden words in news articles, and hand the predictions to a zero-shot summarization model with the instruction to preserve the detected words in the summary.

History

  • 2025-07-30 first online, published, posted

Publisher

4TU.ResearchData

Format

pytorch_model.bin

Funding

  • Hybrid Intelligence (HI): augmenting human intellect (grant code 024.004.022) [more info...] Dutch Research Council
  • AlgoSoc - Public values in the algorithmic society (grant code 024.005.017) [more info...] Dutch Ministry of Education, Culture and Science (OCW)

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems; ADAPT Research Centre, Dublin City University

DATA

Files (1)

  • 625,481,306 bytesMD5:76e668c2c4deab3ff402714c9cc9c2ffmodel.zip