mlsanityData to 14 Oct 2026

Quantifying Political Bias in News Articles

arXiv 2210.03404 ↗First posted 7 Oct 2022cs.IR cs.AIcited by 3

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Abstract (arXiv)

Search bias analysis is getting more attention in recent years since search results could affect In this work, we aim to establish an automated model for evaluating ideological bias in online news articles. The dataset is composed of news articles in search results as well as the newspaper articles. The current automated model results show that model capability is not sufficient to be exploited for annotating the documents automatically, thereby computing bias in search results.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 1 of its 17 references that are in the map. First posted on arXiv 7 Oct 2022.

Builds on

1 of 17 references.

References · 1

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 0; 2026: 1.

3 papers.