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Experiments in News Bias Detection with Pre-Trained Neural Transformers
Published 14 Jun 2024 in cs.CL and cs.AI | (2406.09938v1)
Abstract: The World Wide Web provides unrivalled access to information globally, including factual news reporting and commentary. However, state actors and commercial players increasingly spread biased (distorted) or fake (non-factual) information to promote their agendas. We compare several large, pre-trained LLMs on the task of sentence-level news bias detection and sub-type classification, providing quantitative and qualitative results.
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