Experiments in News Bias Detection with Pre-Trained Neural Transformers
Tim Menzner, Jochen L. Leidner
6/14/2024
cs.CLcs.AI
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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 language models on the task of sentence-level news bias detection and sub-type classification, providing quantitative and qualitative results.
