%0 Computer Program
%A Liscio, Enrico
%A Lorandi, Michela
%A Murukannaiah, Pradeep K.
%D 2025
%T News is More than a Collection of Facts: Moral Frame Preserving News Summarization - code
%U 
%R 10.4121/7b387539-0f9b-4143-b960-76eeef8886ab.v1
%K Large Language Models (LLMs)
%K News summarization
%K Morality
%K Framing
%X <p>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.</p>
%I 4TU.ResearchData