mlsanityData to 7 Oct 2026

Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity

arXiv 2010.10652 ↗First posted 20 Oct 2020cs.CLcited by 32

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Abstract (arXiv)

Media organizations bear great reponsibility because of their considerable influence on shaping beliefs and positions of our society. Any form of media can contain overly biased content, e.g., by reporting on political events in a selective or incomplete manner. A relevant question hence is whether and how such form of imbalanced news coverage can be exposed. The research presented in this paper addresses not only the automatic detection of bias but goes one step further in that it explores how political bias and unfairness are manifested linguistically. In this regard we utilize a new corpus of 6964 news articles with labels derived from adfontesmedia.com and develop a neural model for bias assessment. By analyzing this model on article excerpts, we find insightful bias patterns at different levels of text granularity, from single words to the whole article discourse.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Oct 2020.

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Citing papers per year: 2021: 6; 2022: 3; 2023: 10; 2024: 6; 2025: 7.

32 papers.

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  1. 2024Measuring Political Bias in Large Language Models: What Is Said and How It Is Saidcited by 89
  2. 2022Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By Expertscited by 54
  3. 2023On the Independence of Association Bias and Empirical Fairness in Language Modelscited by 29
  4. 2021Do You Think It's Biased? How To Ask For The Perception Of Media Biascited by 12
  5. 2022Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articlescited by 11
  6. 2023The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Biascited by 11
  7. 2023Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AIcited by 9
  8. 2024Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articlescited by 9
  9. 2025Steering Towards Fairness: Mitigating Political Bias in LLMscited by 7
  10. 2021An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articlescited by 6
  11. 2023Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchycited by 6
  12. 2023Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framingcited by 6
20 more
  1. 2022No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Mediacited by 5
  2. 2023Discourse Structures Guided Fine-grained Propaganda Identificationcited by 5
  3. 2025Framing Political Bias in Multilingual LLMs Across Pakistani Languagescited by 5
  4. 2021Controlled Neural Sentence-Level Reframing of News Articlescited by 4
  5. 2024Pitfalls of Conversational LLMs on News Debiasingcited by 3
  6. 2024A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Modelscited by 3
  7. 2021Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddingscited by 2
  8. 2023Data-Augmented and Retrieval-Augmented Context Enrichment in Chinese Media Bias Detectioncited by 2
  9. 2024Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detectioncited by 2
  10. 2021A Machine Learning Pipeline to Examine Political Bias with Congressional Speechescited by 1
  11. 2023Capturing Topic Framing via Masked Language Modelingcited by 1
  12. 2024On Context-aware Detection of Cherry-picking in News Reportingcited by 1
  13. 2025Journalism-Guided Agentic In-Context Learning for News Stance Detectioncited by 1
  14. 2021Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approachcited by 0
  15. 2023Voting Booklet Bias: Stance Detection in Swiss Federal Communicationcited by 0
  16. 2023KUCST at CheckThat 2023: How good can we be with a generic model?cited by 0
  17. 2025Multimodal Political Bias Identification and Neutralizationcited by 0
  18. 2025Political Leaning and Politicalness Classification of Textscited by 0
  19. 2025Counterspeech for Mitigating the Influence of Media Bias: Comparing Human and LLM-Generated Responsescited by 0
  20. 2025A Multifaceted Analysis of Social Biases in Large Language Modelscited by 0