mlsanityData to 7 Oct 2026

Towards Fine-Grained Reasoning for Fake News Detection

arXiv 2110.15064 ↗First posted 13 Sep 2021cs.CL cs.LGcited by 32

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Abstract (arXiv)

The detection of fake news often requires sophisticated reasoning skills, such as logically combining information by considering word-level subtle clues. In this paper, we move towards fine-grained reasoning for fake news detection by better reflecting the logical processes of human thinking and enabling the modeling of subtle clues. In particular, we propose a fine-grained reasoning framework by following the human information-processing model, introduce a mutual-reinforcement-based method for incorporating human knowledge about which evidence is more important, and design a prior-aware bi-channel kernel graph network to model subtle differences between pieces of evidence. Extensive experiments show that our model outperforms the state-of-the-art methods and demonstrate the explainability of our approach.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). Builds on 21 of its 55 references that are in the map. First posted on arXiv 13 Sep 2021.

Builds on

21 of 55 references.

References · 21

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  3. 2014On the Properties of Neural Machine Translation: Encoder-Decoder Approachescited by 1,303
  4. 2018Predict then Propagate: Graph Neural Networks meet Personalized PageRankcited by 987
  5. 2019Defending Against Neural Fake Newscited by 553
  6. 2017Fake News Detection on Social Media: A Data Mining Perspectivecited by 334
  7. 2018FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Mediacited by 281
  8. 2020Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networkscited by 152
  9. 2018DKN: Deep Knowledge-Aware Network for News Recommendationcited by 137
  10. 2020GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Mediacited by 108
  11. 2019Fine-grained Fact Verification with Kernel Graph Attention Networkcited by 105
  12. 2017CSI: A Hybrid Deep Model for Fake News Detectioncited by 101
9 more
  1. 2020FANG: Leveraging Social Context for Fake News Detection Using Graph Representationcited by 98
  2. 2019Reasoning Over Semantic-Level Graph for Fact Checkingcited by 69
  3. 2021Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Datacited by 50
  4. 2019Exploiting Multi-domain Visual Information for Fake News Detectioncited by 48
  5. 2020Interpretable Rumor Detection in Microblogs by Attending to User Interactionscited by 44
  6. 2021Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detectioncited by 34
  7. 2019Jointly embedding the local and global relations of heterogeneous graph for rumor detectioncited by 31
  8. 2021The Surprising Performance of Simple Baselines for Misinformation Detectioncited by 27
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 12; 2024: 9; 2025: 4; 2026: 3.

32 papers.

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  1. 2025Large Language Model Agent: A Survey on Methodology, Applications and Challengescited by 194
  2. 2023Can LLM-Generated Misinformation Be Detected?cited by 173
  3. 2023A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detectioncited by 145
  4. 2023Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Methodcited by 97
  5. 2023Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queriescited by 82
  6. 2023Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Modelscited by 37
  7. 2023Continual Learning on Dynamic Graphs via Parameter Isolationcited by 35
  8. 2022Evidence-aware Fake News Detection with Graph Neural Networkscited by 30
  9. 2025The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake Newscited by 29
  10. 2024FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMscited by 27
  11. 2024Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Surveycited by 23
  12. 2022Code Recommendation for Open Source Software Developerscited by 13
20 more
  1. 2022Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizescited by 10
  2. 2023TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classificationcited by 9
  3. 2025The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Frameworkcited by 9
  4. 2022Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networkscited by 7
  5. 2023Implicit Temporal Reasoning for Evidence-Based Fact-Checkingcited by 7
  6. 2023Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasingcited by 7
  7. 2024Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluationcited by 6
  8. 2025CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detectioncited by 6
  9. 2026The Paradigm Shift: A Comprehensive Survey on Large Vision Language Models for Multimodal Fake News Detectioncited by 6
  10. 2023HQP: A Human-Annotated Dataset for Detecting Online Propagandacited by 4
  11. 2023arXiv4TGC: Large-Scale Datasets for Temporal Graph Clusteringcited by 3
  12. 2023Fake News Detection Through Graph-based Neural Networks: A Surveycited by 3
  13. 2024Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectoriescited by 3
  14. 2024Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generatorcited by 2
  15. 2026Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasetscited by 1
  16. 2024Dynamic Analysis and Adaptive Discriminator for Fake News Detectioncited by 0
  17. 2024The Veracity Problem: Detecting False Information and its Propagation on Online Social Media Networkscited by 0
  18. 2024MAPX: An explainable model-agnostic framework for the detection of false information on social media networkscited by 0
  19. 2024Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract)cited by 0
  20. 2026MERMAID: Memory-Enhanced Retrieval and Reasoning with Multi-Agent Iterative Knowledge Grounding for Veracity Assessmentcited by 0