mlsanityData to 14 Oct 2026

VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning

arXiv 2406.10289 ↗First posted 12 Jun 2024cs.CL cs.AI cs.IRcited by 6

Not on the map. Why?

Abstract (arXiv)

The proliferation of fake news poses a significant threat not only by disseminating misleading information but also by undermining the very foundations of democracy. The recent advance of generative artificial intelligence has further exacerbated the challenge of distinguishing genuine news from fabricated stories. In response to this challenge, we introduce VeraCT Scan, a novel retrieval-augmented system for fake news detection. This system operates by extracting the core facts from a given piece of news and subsequently conducting an internet-wide search to identify corroborating or conflicting reports. Then sources' credibility is leveraged for information verification. Besides determining the veracity of news, we also provide transparent evidence and reasoning to support its conclusions, resulting in the interpretability and trust in the results. In addition to GPT-4 Turbo, Llama-2 13B is also fine-tuned for news content understanding, information verification, and reasoning. Both implementations have demonstrated state-of-the-art accuracy in the realm of fake news detection.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 30 of its 54 references that are in the map. First posted on arXiv 12 Jun 2024.

Builds on

30 of 54 references.

References · 30

  1. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  3. 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,703
  4. 2020Leveraging Passage Retrieval with Generative Models for Open Domain Question Answeringcited by 1,210
  5. 2023LIMA: Less Is More for Alignmentcited by 1,100
  6. 2022Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questionscited by 923
  7. 2023Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedbackcited by 353
  8. 2017Fake News Detection on Social Media: A Data Mining Perspectivecited by 336
  9. 2023Benchmarking Large Language Models in Retrieval-Augmented Generationcited by 312
  10. 2018FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Mediacited by 285
  11. 2023Can LLM-Generated Misinformation Be Detected?cited by 177
  12. 2022Large Language Models with Controllable Working Memorycited by 169
18 more
  1. 2022DocPrompting: Generating Code by Retrieving the Docscited by 153
  2. 2023Fact-Checking Complex Claims with Program-Guided Reasoningcited by 146
  3. 2017Automatic Detection of Fake Newscited by 145
  4. 2023Scaling Laws of RoPE-based Extrapolationcited by 125
  5. 2019Fake News Detection on Social Media using Geometric Deep Learningcited by 118
  6. 2023WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferencescited by 100
  7. 2023Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Methodcited by 97
  8. 2017Beyond News Contents: The Role of Social Context for Fake News Detectioncited by 91
  9. 2018Predicting Factuality of Reporting and Bias of News Media Sourcescited by 71
  10. 2018Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memorycited by 49
  11. 2019The Role of User Profile for Fake News Detectioncited by 41
  12. 2022Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generationcited by 41
  13. 2023FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checkingcited by 37
  14. 2022Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?cited by 16
  15. 2024Can We Verify Step by Step for Incorrect Answer Detection?cited by 15
  16. 2023Exploiting User Comments for Early Detection of Fake News Prior to Users' Commentingcited by 11
  17. 2024Evaluating the Effectiveness of GPT-4 Turbo in Creating Defeaters for Assurance Casescited by 6
  18. 2021Multimodal Detection of Information Disorder from Social Mediacited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 1.

6 papers.

  1. 2025Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMscited by 42
  2. 2025Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citationcited by 4
  3. 2025A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detectioncited by 2
  4. 2025Detecting Manipulated Contents Using Knowledge-Grounded Inferencecited by 1
  5. 2025ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interactioncited by 1
  6. 2026RADAR: Retrieval-Augmented Detector with Adversarial Refinement for Adaptive LLM-Generated Fake News Detectioncited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026ExDR: Explanation-driven Dynamic Retrieval Enhancement for Multimodal Fake News Detection
  2. 2024Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors
  3. 2025RoE-FND: A Case-Based Reasoning Approach with Dual Verification for Fake News Detection via LLMs
  4. 2025Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning
  5. 2026Verify as You Go: An LLM-Powered Browser Extension for Fake News Detection
  6. 2026A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM
  7. 2025FactGuard: Event-Centric and Commonsense-Guided Fake News Detection
  8. 2024TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection