mlsanityData to 14 Oct 2026

The science of fake news

arXiv 2307.07903 ↗First posted 15 Jul 2023cs.CYcited by 97

Not on the map. Why?

Abstract (arXiv)

Fake news emerged as an apparent global problem during the 2016 U.S. Presidential election. Addressing it requires a multidisciplinary effort to define the nature and extent of the problem, detect fake news in real time, and mitigate its potentially harmful effects. This will require a better understanding of how the Internet spreads content, how people process news, and how the two interact. We review the state of knowledge in these areas and discuss two broad potential mitigation strategies: better enabling individuals to identify fake news, and intervention within the platforms to reduce the attention given to fake news. The cooperation of Internet platforms (especially Facebook, Google, and Twitter) with researchers will be critical to understanding the scale of the issue and the effectiveness of possible interventions.

Key facts. Cited by 97 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Jul 2023.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 21; 2024: 22; 2025: 24; 2026: 30.

97 papers.

Sort:

By area:

  1. 2023Can LLM-Generated Misinformation Be Detected?cited by 177
  2. 2023Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Methodcited by 97
  3. 2023Disinformation Detection: An Evolving Challenge in the Age of LLMscited by 41
  4. 2023EX-FEVER: A Dataset for Multi-hop Explainable Fact Verificationcited by 36
  5. 2024The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agentscited by 24
  6. 2023Fact-checking information from large language models can decrease headline discernmentcited by 22
  7. 2025The simulation of judgment in LLMscited by 22
  8. 2023Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformationcited by 21
  9. 2025How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfarecited by 20
  10. 2024A Guide to Misinformation Detection Data and Evaluationcited by 10
  11. 2025Meaning Is Not A Metric: Using LLMs to make cultural context legible at scalecited by 10
  12. 2026The Moltbook Illusion: Separating Human Influence from Emergent Behavior in AI Agent Societiescited by 10
38 more
  1. 2023Countering Misinformation via Emotional Response Generationcited by 9
  2. 2024Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunitiescited by 8
  3. 2024Promotional Language and the Adoption of Innovative Ideas in Sciencecited by 8
  4. 2024Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotatorscited by 8
  5. 2025BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checkingcited by 8
  6. 2025The Hidden Threat in Plain Text: Attacking RAG Data Loaderscited by 8
  7. 2024Reliability Estimation of News Media Sources: Birds of a Feather Flock Togethercited by 7
  8. 2024The FIGNEWS Shared Task on News Media Narrativescited by 7
  9. 2024MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Modelscited by 7
  10. 2024Adversarial Style Augmentation via Large Language Model for Robust Fake News Detectioncited by 6
  11. 2025Before It's Too Late: A State Space Model for the Early Prediction of Misinformation and Disinformation Engagementcited by 6
  12. 2025CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detectioncited by 6
  13. 2026JailNewsBench: Multi-Lingual and Regional Benchmark for Fake News Generation under Jailbreak Attackscited by 6
  14. 2024Stanceformer: Target-Aware Transformer for Stance Detectioncited by 5
  15. 2024Face the Facts! Evaluating RAG-based Pipelines for Professional Fact-Checkingcited by 5
  16. 2025Echoes of Power: Investigating Geopolitical Bias in US and China Large Language Modelscited by 5
  17. 2023A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPTcited by 4
  18. 2024Fake News Detection: It's All in the Data!cited by 4
  19. 2024Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Surveycited by 4
  20. 2024A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biasescited by 4
  21. 2025Neutralizing the Narrative: AI-Powered Debiasing of Online News Articlescited by 4
  22. 2026Interactive Narrative Analytics: Bridging Computational Narrative Extraction and Human Sensemakingcited by 4
  23. 2023Interactively Learning Social Media Representations Improves News Source Factuality Detectioncited by 3
  24. 2023Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processingcited by 3
  25. 2025Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claimscited by 3
  26. 2025Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future Directionscited by 3
  27. 2023CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networkscited by 2
  28. 2023Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checkingcited by 2
  29. 2023Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasetscited by 2
  30. 2023Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networkscited by 2
  31. 2023COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake Newscited by 2
  32. 2024Unmasking Social Bots: How Confident Are We?cited by 2
  33. 2024Assessing the Impact of Conspiracy Theories Using Large Language Modelscited by 2
  34. 2025Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checkingcited by 2
  35. 2025X-Troll: eXplainable Detection of State-Sponsored Information Operations Agentscited by 2
  36. 2025Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMscited by 2
  37. 2026GitSearch: Enhancing Community Notes Generation with Gap-Informed Targeted Searchcited by 2
  38. 2023From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Contextcited by 1

50 most cited of 97 All 97 (JSON)