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

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

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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.

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Keywords
Framing
Large Language Models (LLMs)
Morality
News summarization
Programming languages
License
  • MIT
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