mlsanityData to 7 Oct 2026

GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media

arXiv 2004.11648 ↗First posted 24 Apr 2020cs.CL cs.LG stat.MLcited by 108

Not on the map. Why?

Abstract (arXiv)

This paper solves the fake news detection problem under a more realistic scenario on social media. Given the source short-text tweet and the corresponding sequence of retweet users without text comments, we aim at predicting whether the source tweet is fake or not, and generating explanation by highlighting the evidences on suspicious retweeters and the words they concern. We develop a novel neural network-based model, Graph-aware Co-Attention Networks (GCAN), to achieve the goal. Extensive experiments conducted on real tweet datasets exhibit that GCAN can significantly outperform state-of-the-art methods by 16% in accuracy on average. In addition, the case studies also show that GCAN can produce reasonable explanations.

Key facts. Cited by 108 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Apr 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 22; 2022: 20; 2023: 27; 2024: 25; 2025: 12; 2026: 2.

108 papers.

Sort:

By area:

  1. 2021A Survey on Automated Fact-Checkingcited by 376
  2. 2021A Comprehensive Survey on Graph Anomaly Detection with Deep Learningcited by 230
  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. 2022Trustworthy Graph Neural Networks: Aspects, Methods and Trendscited by 88
  6. 2021User Preference-aware Fake News Detectioncited by 76
  7. 2023Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attackscited by 69
  8. 2022Generating Literal and Implied Subquestions to Fact-check Complex Claimscited by 66
  9. 2022A General Survey on Attention Mechanisms in Deep Learningcited by 64
  10. 2023Multimodal Automated Fact-Checking: A Surveycited by 51
  11. 2024Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdomcited by 49
  12. 2024Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debatecited by 48
38 more
  1. 2022TwiBot-22: Towards Graph-Based Twitter Bot Detectioncited by 44
  2. 2024DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detectioncited by 41
  3. 2021Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detectioncited by 34
  4. 2021Towards Fine-Grained Reasoning for Fake News Detectioncited by 32
  5. 2021Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networkscited by 29
  6. 2024JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claimscited by 29
  7. 2023A Survey on Explainability of Graph Neural Networkscited by 28
  8. 2021The Surprising Performance of Simple Baselines for Misinformation Detectioncited by 27
  9. 2023QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checkingcited by 26
  10. 2023Benchmarking the Generation of Fact Checking Explanationscited by 25
  11. 2024What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detectioncited by 24
  12. 2021Multimodal Emergent Fake News Detection via Meta Neural Process Networkscited by 21
  13. 2021Abstract, Rationale, Stance: A Joint Model for Scientific Claim Verificationcited by 20
  14. 2021Explainable Identification of Dementia from Transcripts using Transformer Networkscited by 19
  15. 2021Generating Fluent Fact Checking Explanations with Unsupervised Post-Editingcited by 15
  16. 2022Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challengescited by 15
  17. 2023It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splitscited by 15
  18. 2024Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approachescited by 15
  19. 2021Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensemblescited by 14
  20. 2022Deep Graph Learning for Anomalous Citation Detectioncited by 14
  21. 2022Multi-modal Misinformation Detection: Approaches, Challenges and Opportunitiescited by 14
  22. 2021DEAP-FAKED: Knowledge Graph based Approach for Fake News Detectioncited by 13
  23. 2022A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detectioncited by 12
  24. 2023CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Networkcited by 12
  25. 2022Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classificationcited by 11
  26. 2023Explore the Potential of LLMs in Misinformation Detection: An Empirical Studycited by 11
  27. 2025SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrievalcited by 11
  28. 2022A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learningcited by 10
  29. 2023Exploiting User Comments for Early Detection of Fake News Prior to Users' Commentingcited by 10
  30. 2023Countering Misinformation via Emotional Response Generationcited by 9
  31. 2024Can Large Language Models Detect Rumors on Social Media?cited by 9
  32. 2021Extractive and Abstractive Explanations for Fact-Checking and Evaluation of Newscited by 8
  33. 2022Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibocited by 8
  34. 2021Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link Predictioncited by 7
  35. 2023Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasingcited by 7
  36. 2021Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verificationcited by 6
  37. 2023WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdomcited by 6
  38. 2025LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Informationcited by 6

50 most cited of 108 All 108 (JSON)