mlsanityData to 7 Oct 2026

Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News

arXiv 2010.03159 ↗First posted 7 Oct 2020cs.IR cs.AIcited by 48

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Abstract (arXiv)

Although many fact-checking systems have been developed in academia and industry, fake news is still proliferating on social media. These systems mostly focus on fact-checking but usually neglect online users who are the main drivers of the spread of misinformation. How can we use fact-checked information to improve users' consciousness of fake news to which they are exposed? How can we stop users from spreading fake news? To tackle these questions, we propose a novel framework to search for fact-checking articles, which address the content of an original tweet (that may contain misinformation) posted by online users. The search can directly warn fake news posters and online users (e.g. the posters' followers) about misinformation, discourage them from spreading fake news, and scale up verified content on social media. Our framework uses both text and images to search for fact-checking articles, and achieves promising results on real-world datasets. Our code and datasets are released at https://github.com/nguyenvo09/EMNLP2020.

Key facts. Cited by 48 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Oct 2020.

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Citing papers per year: 2021: 13; 2022: 17; 2023: 4; 2024: 8; 2025: 6.

48 papers.

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  1. 2021A Survey on Automated Fact-Checkingcited by 376
  2. 2021Automated Fact-Checking for Assisting Human Fact-Checkerscited by 144
  3. 2021A Survey on Stance Detection for Mis- and Disinformation Identificationcited by 75
  4. 2021Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resourcescited by 71
  5. 2022Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformationcited by 45
  6. 2021Claim Matching Beyond English to Scale Global Fact-Checkingcited by 42
  7. 2023Multilingual Previously Fact-Checked Claim Retrievalcited by 32
  8. 2021Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learningcited by 25
  9. 2022Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Mediacited by 20
  10. 2021Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Documentcited by 19
  11. 2021Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detectioncited by 17
  12. 2021The Role of Context in Detecting Previously Fact-Checked Claimscited by 17
36 more
  1. 2021Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked Claimscited by 16
  2. 2022Matching Tweets With Applicable Fact-Checks Across Languagescited by 15
  3. 2022Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19cited by 15
  4. 2023FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answeringcited by 15
  5. 2021Dataset of Fake News Detection and Fact Verification: A Surveycited by 11
  6. 2022Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systemscited by 11
  7. 2024Similarity over Factuality: Are we making progress on multimodal out-of-context misinformation detection?cited by 11
  8. 2025SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrievalcited by 11
  9. 2021Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemiccited by 9
  10. 2022CrowdChecked: Detecting Previously Fact-Checked Claims in Social Mediacited by 9
  11. 2022Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibocited by 8
  12. 2023MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learningcited by 8
  13. 2024Truth or Mirage? Towards End-to-End Factuality Evaluation with LLM-Oasiscited by 8
  14. 2022An Overview of Recent Work in Media Forensics: Methods and Threatscited by 7
  15. 2022Autonomation, Not Automation: Activities and Needs of European Fact-checkers as a Basis for Designing Human-Centered AI Systemscited by 7
  16. 2022Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verificationcited by 6
  17. 2022Self-Supervised Losses for One-Class Textual Anomaly Detectioncited by 5
  18. 2022Identifying and Characterizing Active Citizens who Refute Misinformation in Social Mediacited by 5
  19. 2022Harnessing Abstractive Summarization for Fact-Checked Claim Detectioncited by 5
  20. 2022ProVe: A Pipeline for Automated Provenance Verification of Knowledge Graphs against Textual Sourcescited by 5
  21. 2023Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checkingcited by 5
  22. 2024Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learningcited by 5
  23. 2024Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Datacited by 4
  24. 2025MCP-Orchestrated Multi-Agent System for Automated Disinformation Detectioncited by 4
  25. 2022Automatic Fake News Detection: Are current models "fact-checking" or "gut-checking"?cited by 3
  26. 2024Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidencescited by 3
  27. 2024A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Modelscited by 3
  28. 2022Robust Deepfake On Unrestricted Media: Generation And Detectioncited by 2
  29. 2025Tailored untruths: How personalisation challenges LLM safeguardscited by 2
  30. 2022Machine Learning-based Automatic Annotation and Detection of COVID-19 Fake Newscited by 1
  31. 2021Logically at Factify 2022: Multimodal Fact Verificationcited by 0
  32. 2024Hoaxpedia: A Unified Wikipedia Hoax Articles Datasetcited by 0
  33. 2024SceneGraMMi: Scene Graph-boosted Hybrid-fusion for Multi-Modal Misinformation Veracity Predictioncited by 0
  34. 2025Mitigating GenAI-Powered Evidence Pollution for Out-Of-Context Misinformation Detectioncited by 0
  35. 2025Understanding Inequality of LLM Fact-Checking over Geographic Regions with Agent and Retrieval modelscited by 0
  36. 2025o-MEGA: Optimized Methods for Explanation Generation and Analysiscited by 0