Improved Models for Media Bias Detection and Subcategorization

Tim Menzner, Jochen L. Leidner
12/16/2024
cs.CL

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Abstract

We present improved models for the granular detection and sub-classification news media bias in English news articles. We compare the performance of zero-shot versus fine-tuned large pre-trained neural transformer language models, explore how the level of detail of the classes affects performance on a novel taxonomy of 27 news bias-types, and demonstrate how using synthetically generated example data can be used to improve quality

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Cite this paper

@article{menzner2024improved,
  title  = {Improved Models for Media Bias Detection and Subcategorization},
  author = {Tim Menzner and Jochen L. Leidner},
  year   = {2024},
  eprint = {2412.11835},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.11835v1}
}

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