mlsanityData to 7 Oct 2026

Moral Framing and Ideological Bias of News

arXiv 2009.12979 ↗First posted 27 Sep 2020cs.CYcited by 29

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Abstract (arXiv)

News outlets are a primary source for many people to learn what is going on in the world. However, outlets with different political slants, when talking about the same news story, usually emphasize various aspects and choose their language framing differently. This framing implicitly shows their biases and also affects the reader's opinion and understanding. Therefore, understanding the framing in the news stories is fundamental for realizing what kind of view the writer is conveying with each news story. In this paper, we describe methods for characterizing moral frames in the news. We capture the frames based on the Moral Foundation Theory. This theory is a psychological concept which explains how every kind of morality and opinion can be summarized and presented with five main dimensions. We propose an unsupervised method that extracts the framing Bias and the framing Intensity without any external framing annotations provided. We validate the performance on an annotated twitter dataset and then use it to quantify the framing bias and partisanship of news.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Sep 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 5; 2023: 6; 2024: 5; 2025: 7; 2026: 2.

29 papers.

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  1. 2021Socially Responsible AI Algorithms: Issues, Purposes, and Challengescited by 56
  2. 2024MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussionscited by 23
  3. 2024Whose Emotions and Moral Sentiments Do Language Models Reflect?cited by 20
  4. 2023A Data Fusion Framework for Multi-Domain Morality Learningcited by 14
  5. 2025Are Rules Meant to be Broken? Understanding Multilingual Moral Reasoning as a Computational Pipeline with UniMoralcited by 14
  6. 2023Values, Ethics, Morals? On the Use of Moral Concepts in NLP Researchcited by 13
  7. 2021To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violencecited by 12
  8. 2022Learning to Adapt Domain Shifts of Moral Values via Instance Weightingcited by 11
  9. 2022Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Mediacited by 10
  10. 2021Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsitycited by 9
  11. 2022Partial Identification of Dose Responses with Hidden Confounderscited by 7
  12. 2022Noise Audits Improve Moral Foundation Classificationcited by 7
17 more
  1. 2023MOKA: Moral Knowledge Augmentation for Moral Event Extractioncited by 7
  2. 2024Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communitiescited by 7
  3. 2025MoVa: Towards Generalizable Classification of Human Morals and Valuescited by 7
  4. 2023Enhancing Stance Classification on Social Media Using Quantified Moral Foundationscited by 4
  5. 2025Differences in the Moral Foundations of Large Language Modelscited by 3
  6. 2021Detecting Anti-Vaccine Users on Twittercited by 2
  7. 2025The Moral Gap of Large Language Modelscited by 2
  8. 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideologycited by 1
  9. 2023FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlinescited by 1
  10. 2025Beyond English: Evaluating Automated Measurement of Moral Foundations in Non-English Discourse with a Chinese Case Studycited by 1
  11. 2025News is More than a Collection of Facts: Moral Frame Preserving News Summarizationcited by 1
  12. 2026Left, Right, or Center? Evaluating LLM Framing in News Classification and Generationcited by 1
  13. 2023Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Predictioncited by 0
  14. 2024Do Language Models Understand Morality? Towards a Robust Detection of Moral Contentcited by 0
  15. 2024LML: A Novel Lexicon for the Moral Foundation of Libertycited by 0
  16. 2025Through the LLM Looking Glass: A Socratic Probing of Donkeys, Elephants, and Marketscited by 0
  17. 2026ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representationcited by 0