News is More than a Collection of Facts: Moral Frame Preserving News Summarization - code
DOI: 10.4121/7b387539-0f9b-4143-b960-76eeef8886ab
Datacite citation style
Software
Licence MIT
Interoperability
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.
History
- 2025-07-30 first online, published, posted
Publisher
4TU.ResearchDataFormat
Python codeAssociated peer-reviewed publication
News is More than a Collection of Facts: Moral Frame Preserving News SummarizationFunding
- 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 UniversityTo access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/4727197d-5819-4871-9432-ec3bba1260e6.git