Presents MBFC-2025 dataset and multi-view embeddings with fusion methods for media bias and factuality, reporting SOTA results on ACL-2020 and new benchmarks on MBFC-2025.
Detecting Frames in News Headlines and Its Application to Analyzing News Framing Trends Surrounding
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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.
citing papers explorer
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A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis
Presents MBFC-2025 dataset and multi-view embeddings with fusion methods for media bias and factuality, reporting SOTA results on ACL-2020 and new benchmarks on MBFC-2025.
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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.