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Fake News Identification on Twitter with Hybrid CNN and RNN Models

arXiv 1806.11316 ↗First posted 29 Jun 2018cs.SI cs.CLcited by 17

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Abstract (arXiv)

The problem associated with the propagation of fake news continues to grow at an alarming scale. This trend has generated much interest from politics to academia and industry alike. We propose a framework that detects and classifies fake news messages from Twitter posts using hybrid of convolutional neural networks and long-short term recurrent neural network models. The proposed work using this deep learning approach achieves 82% accuracy. Our approach intuitively identifies relevant features associated with fake news stories without previous knowledge of the domain.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Jun 2018.

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Citing papers per year: 2021: 8; 2022: 5; 2023: 2; 2024: 0; 2025: 2.

17 papers.

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  1. 2023Factify 2: A Multimodal Fake News and Satire News Datasetcited by 23
  2. 2023Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Modelcited by 10
  3. 2022Methods of Informational Trends Analytics and Fake News Detection on Twittercited by 6
  4. 2022MM-Claims: A Dataset for Multimodal Claim Detection in Social Mediacited by 6
  5. 2021TIB's Visual Analytics Group at MediaEval '20: Detecting Fake News on Corona Virus and 5G Conspiracycited by 4
  6. 2021BERT based classification system for detecting rumours on Twittercited by 3
  7. 2022Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detectioncited by 3
  8. 2025MVAN: Multi-View Attention Networks for Fake News Detection on Social Mediacited by 3
  9. 2021Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languagescited by 2
  10. 2021A Study of Fake News Reading and Annotating in Social Media Contextcited by 2
  11. 2022Evaluating BERT-based Pre-training Language Models for Detecting Misinformationcited by 2
  12. 2021Technological Approaches to Detecting Online Disinformation and Manipulationcited by 1
5 more
  1. 2021Evaluating Deception Detection Model Robustness To Linguistic Variationcited by 0
  2. 2021HAT4RD: Hierarchical Adversarial Training for Rumor Detection on Social Mediacited by 0
  3. 2021A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networkscited by 0
  4. 2022DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomaliescited by 0
  5. 2025Truth in Text: A Meta-Analysis of ML-Based Cyber Information Influence Detection Approachescited by 0