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Thus far, we have presented a comprehensive literature review on media bias in Chap. 2, evaluated reliable measures for understanding media bias perception in Chap. 3, and introduced our two new datasets, MBIC and BABE, in Chap. 4. We now turn our attention to the design and implementation of automated bias classification systems. This chapter centers on a traditional machine-learning approach grounded on linguistic features.

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Feature-based Media Bias Detection

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Timo Spinde

摘要

Thus far, we have presented a comprehensive literature review on media bias in Chap. 2, evaluated reliable measures for understanding media bias perception in Chap. 3, and introduced our two new datasets, MBIC and BABE, in Chap. 4. We now turn our attention to the design and implementation of automated bias classification systems. This chapter centers on a traditional machine-learning approach grounded on linguistic features.