mlsanityData to 7 Oct 2026

XFake: Explainable Fake News Detector with Visualizations

arXiv 1907.07757 ↗First posted 8 Jul 2019cs.CY cs.CL cs.LGcited by 32

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Abstract (arXiv)

In this demo paper, we present the XFake system, an explainable fake news detector that assists end-users to identify news credibility. To effectively detect and interpret the fakeness of news items, we jointly consider both attributes (e.g., speaker) and statements. Specifically, MIMIC, ATTN and PERT frameworks are designed, where MIMIC is built for attribute analysis, ATTN is for statement semantic analysis and PERT is for statement linguistic analysis. Beyond the explanations extracted from the designed frameworks, relevant supporting examples as well as visualization are further provided to facilitate the interpretation. Our implemented system is demonstrated on a real-world dataset crawled from PolitiFact, where thousands of verified political news have been collected.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jul 2019.

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Citing papers per year: 2021: 4; 2022: 6; 2023: 9; 2024: 8; 2025: 3; 2026: 2.

32 papers.

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  1. 2021A Survey on Automated Fact-Checkingcited by 376
  2. 2021On Explainability of Graph Neural Networks via Subgraph Explorationscited by 280
  3. 2023Fact-Checking Complex Claims with Program-Guided Reasoningcited by 146
  4. 2023Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Methodcited by 97
  5. 2022Generating Literal and Implied Subquestions to Fact-check Complex Claimscited by 66
  6. 2024Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdomcited by 49
  7. 2024JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claimscited by 29
  8. 2023Benchmarking the Generation of Fact Checking Explanationscited by 25
  9. 2022FlowX: Towards Explainable Graph Neural Networks via Message Flowscited by 20
  10. 2023FakeGPT: Fake News Generation, Explanation and Detection of Large Language Modelscited by 16
  11. 2022Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learningcited by 15
  12. 2024Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approachescited by 15
20 more
  1. 2022A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detectioncited by 12
  2. 2022Model-Agnostic and Diverse Explanations for Streaming Rumour Graphscited by 9
  3. 2023Countering Misinformation via Emotional Response Generationcited by 9
  4. 2024What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blockscited by 6
  5. 2025Generalizable and Explainable Deep Learning for Medical Image Computing: An Overviewcited by 6
  6. 2026The Paradigm Shift: A Comprehensive Survey on Large Vision Language Models for Multimodal Fake News Detectioncited by 6
  7. 2024Attention with Dependency Parsing Augmentation for Fine-Grained Attributioncited by 5
  8. 2024Face the Facts! Evaluating RAG-based Pipelines for Professional Fact-Checkingcited by 5
  9. 2021Challenges and Considerations with Code-Mixed NLP for Multilingual Societiescited by 4
  10. 2023ExClaim: Explainable Neural Claim Verification Using Rationalizationcited by 4
  11. 2023Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verificationcited by 3
  12. 2024Robust Claim Verification Through Fact Detectioncited by 3
  13. 2021Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languagescited by 2
  14. 2023COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake Newscited by 2
  15. 2023Evidence-based Interpretable Open-domain Fact-checking with Large Language Modelscited by 2
  16. 2025Misinformation Detection using Large Language Models with Explainabilitycited by 2
  17. 2025Detecting Manipulated Contents Using Knowledge-Grounded Inferencecited by 1
  18. 2022Towards Smart Fake News Detection Through Explainable AIcited by 0
  19. 2024Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Networkcited by 0
  20. 2026A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLMcited by 0