Systematic LLM evaluation for news framing detection reveals prompt sensitivity and emotional-language bias, introduces an out-of-domain headline dataset, and shows cross-model consensus aids annotation auditing.
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Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Detection
Systematic LLM evaluation for news framing detection reveals prompt sensitivity and emotional-language bias, introduces an out-of-domain headline dataset, and shows cross-model consensus aids annotation auditing.