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.
I ndi V ec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators
2 Pith papers cite this work, alongside 2 external citations. Polarity classification is still indexing.
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Fine-tuned GPT ideology labels exhibit significant community-level sentiment-to-ideology causal effects and direct mediation paths that expert human labels lack, consistent with shortcut learning.
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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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Does Topic Sentiment Cause Perceived Ideology? Comparing Human and LLM Annotations in Political News Articles
Fine-tuned GPT ideology labels exhibit significant community-level sentiment-to-ideology causal effects and direct mediation paths that expert human labels lack, consistent with shortcut learning.