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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UNVERDICTED 3representative citing papers
Reddit analysis finds MAHA users show strong cross-theme belief bundling and network coherence unlike anti-MAHA users, with pandemic-era shifts from anti-fluoride/mask to anti-vaccine to broader anti-science engagement.
The study introduces a framework and reports differences in consistency, cohesiveness, and correctness of themes produced under synchronous versus asynchronous collaboration across three interactive NLP tools.
citing papers explorer
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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.
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The Structure and Dynamics of the Online MAHA-sphere
Reddit analysis finds MAHA users show strong cross-theme belief bundling and network coherence unlike anti-MAHA users, with pandemic-era shifts from anti-fluoride/mask to anti-vaccine to broader anti-science engagement.
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Effects of Collaboration on the Performance of Interactive Theme Discovery Systems
The study introduces a framework and reports differences in consistency, cohesiveness, and correctness of themes produced under synchronous versus asynchronous collaboration across three interactive NLP tools.