SoftwareApplication
name: News is More than a Collection of Facts: Moral Frame Preserving News Summarization - code
description: News is More than a Collection of Facts: Moral Frame Preserving News Summarization - code
description: Code used to generate summaries that preserve the moral framing of the original news article. We leverage the zero-shot summarization ability of Large Language Models, shown to produce results on par with human-generated summaries. We compare three language models and five prompting methods. Leveraging the intuition that journalists intentionally use or report moral-laden words in the article text, we propose approaches that first identify moral-laden words in the article (e.g., through Chain-of-Thought or supervised classification) and then guide the language model in preserving such words in the summary.
code repository: https://data.4tu.nl/v3/datasets/4727197d-5819-4871-9432-ec3bba1260e6.git
author: https://orcid.org/0000-0002-8285-5867
author: https://orcid.org/0000-0002-6131-8763
author: https://orcid.org/0000-0002-1261-6908
keywords: Morality
keywords: Framing
keywords: Large Language Models (LLMs)
keywords: News summarization
programming language: Jupyter Notebook
programming language: Markdown
programming language: Other
programming language: Python
programming language: YAML
license:
  creative work: creativeWork
    name: MIT
reference publication: arxiv.2504.00657

https://orcid.org/0000-0002-8285-5867
type: Person
given name: Enrico
family name: Liscio
name: Enrico Liscio

https://orcid.org/0000-0002-6131-8763
type: Person
given name: Michela
family name: Lorandi
name: Michela Lorandi

https://orcid.org/0000-0002-1261-6908
type: Person
given name: Pradeep K.
family name: Murukannaiah
name: Pradeep K. Murukannaiah

arxiv.2504.00657
type: ScholarlyArticle
name: News is More than a Collection of Facts: Moral Frame Preserving News Summarization
url: https://doi.org/10.48550%2Farxiv.2504.00657