mlsanityData to 7 Oct 2026

This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News

arXiv 1703.09398 ↗First posted 28 Mar 2017cs.SI cs.CLcited by 59

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Abstract (arXiv)

The problem of fake news has gained a lot of attention as it is claimed to have had a significant impact on 2016 US Presidential Elections. Fake news is not a new problem and its spread in social networks is well-studied. Often an underlying assumption in fake news discussion is that it is written to look like real news, fooling the reader who does not check for reliability of the sources or the arguments in its content. Through a unique study of three data sets and features that capture the style and the language of articles, we show that this assumption is not true. Fake news in most cases is more similar to satire than to real news, leading us to conclude that persuasion in fake news is achieved through heuristics rather than the strength of arguments. We show overall title structure and the use of proper nouns in titles are very significant in differentiating fake from real. This leads us to conclude that fake news is targeted for audiences who are not likely to read beyond titles and is aimed at creating mental associations between entities and claims.

Key facts. Cited by 59 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Mar 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 14; 2022: 9; 2023: 11; 2024: 13; 2025: 5; 2026: 7.

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  1. 2021FakeFlow: Fake News Detection by Modeling the Flow of Affective Informationcited by 20
  2. 2021A Survey on Predicting the Factuality and the Bias of News Mediacited by 20
  3. 2023Emotion Detection for Misinformation: A Reviewcited by 20
  4. 2023Fake News Detectors are Biased against Texts Generated by Large Language Modelscited by 18
  5. 2022Multi-modal Misinformation Detection: Approaches, Challenges and Opportunitiescited by 14
  6. 2023Weakly Supervised Veracity Classification with LLM-Predicted Credibility Signalscited by 14
  7. 2023Adapting Fake News Detection to the Era of Large Language Modelscited by 14
  8. 2021Dataset of Fake News Detection and Fact Verification: A Surveycited by 11
  9. 2022Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claimscited by 10
  10. 2024Attacking Misinformation Detection Using Adversarial Examples Generated by Language Modelscited by 10
  11. 2024A Guide to Misinformation Detection Data and Evaluationcited by 10
  12. 2022Evaluation of Fake News Detection with Knowledge-Enhanced Language Modelscited by 9
38 more
  1. 2024Heterogeneous Subgraph Transformer for Fake News Detectioncited by 9
  2. 2023Verifying the Robustness of Automatic Credibility Assessmentcited by 8
  3. 2021Measuring Model Fairness under Noisy Covariates: A Theoretical Perspectivecited by 7
  4. 2023It's All in the Embedding! Fake News Detection Using Document Embeddingscited by 7
  5. 2021Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Languagecited by 6
  6. 2021Identifying Misinformation from Website Screenshotscited by 5
  7. 2021Mitigation of Diachronic Bias in Fake News Detection Datasetcited by 5
  8. 2024A Multi-Label Dataset of French Fake News: Human and Machine Insightscited by 5
  9. 2023DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detectioncited by 4
  10. 2024Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classificationcited by 4
  11. 2024Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkishcited by 4
  12. 2024Fake News Detection: It's All in the Data!cited by 4
  13. 2024Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detectioncited by 3
  14. 2021Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channelscited by 2
  15. 20233HAN: A Deep Neural Network for Fake News Detectioncited by 2
  16. 2023Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Termcited by 2
  17. 2024HRDE: Retrieval-Augmented Large Language Models for Chinese Health Rumor Detection and Explainabilitycited by 2
  18. 2026An Experimental Comparison of the Most Popular Approaches to Fake News Detectioncited by 2
  19. 2021Linguistic Cues of Deception in a Multilingual April Fools' Day Contextcited by 1
  20. 2021Fake News Detection Tools and Methods -- A Reviewcited by 1
  21. 2021Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterizationcited by 1
  22. 2022Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approachcited by 1
  23. 2022Evons: A Dataset for Fake and Real News Virality Analysis and Predictioncited by 1
  24. 2024Misinformation is not about Bad Facts: An Analysis of the Production and Consumption of Fringe Contentcited by 1
  25. 2024Variation between Credible and Non-Credible News Across Topicscited by 1
  26. 2025SKDU at De-Factify 4.0: Natural Language Features for AI-Generated Text-Detectioncited by 1
  27. 2026TEGRA: Text Encoding With Graph and Retrieval Augmentation for Misinformation Detectioncited by 1
  28. 2026Reliable News or Propagandist News? A Neurosymbolic Model Using Genre, Topic, and Persuasion Techniques to Improve Robustness in Classificationcited by 1
  29. 2021Defending Democracy: Using Deep Learning to Identify and Prevent Misinformationcited by 0
  30. 2021MINT -- Mainstream and Independent News Text Corpuscited by 0
  31. 2021Framework para Caracterizar Fake News en Terminos de Emocionescited by 0
  32. 2022How does fake news use a thumbnail? CLIP-based Multimodal Detection on the Unrepresentative News Imagecited by 0
  33. 2022A Psycho-linguistic Analysis of BitChutecited by 0
  34. 2022Detecting fake news by enhanced text representation with multi-EDU-structure awarenesscited by 0
  35. 2022FALSE: Fake News Automatic and Lightweight Solutioncited by 0
  36. 2023Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online Newscited by 0
  37. 2023Fake News Detection and Behavioral Analysis: Case of COVID-19cited by 0
  38. 2024Capturing Pertinent Symbolic Features for Enhanced Content-Based Misinformation Detectioncited by 0

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