cff-version: 1.2.0 abstract: "

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.

" authors: - family-names: Liscio given-names: Enrico orcid: "https://orcid.org/0000-0002-8285-5867" - family-names: Lorandi given-names: Michela orcid: "https://orcid.org/0000-0002-6131-8763" - family-names: Murukannaiah given-names: Pradeep K. orcid: "https://orcid.org/0000-0002-1261-6908" title: "News is More than a Collection of Facts: Moral Frame Preserving News Summarization - model" keywords: version: 1 identifiers: - type: doi value: 10.4121/c45e4c12-03bb-472d-bd22-fa943e5b0df0.v1 license: CC BY 4.0 date-released: 2025-07-30