Improved Models for Media Bias Detection and Subcategorization
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914238351540224 |
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| author | Menzner, Tim Leidner, Jochen L. |
| author_facet | Menzner, Tim Leidner, Jochen L. |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_11835 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Improved Models for Media Bias Detection and Subcategorization Menzner, Tim Leidner, Jochen L. Computation and Language 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 |
| title | Improved Models for Media Bias Detection and Subcategorization |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2412.11835 |