FakeNewsNet: Fake News Detection with Social Context
A FakeNewsNet (fake news with social context) dataset of 23,196 news articles labeled fake/real with social media context, collected by Shu et al. via Politifact and GossipCop (2019). Each record contains news title, article text, binary label (0=real, 1=fake), source (politifact/gossipcop), publish date, and URL. The dataset is notable for its dataset with social context and spatiotemporal information for studying fake news propagation. Intended for research into fake news detection, social media analysis, misinformation propagation, and multimodal research.
Cite this dataset at
fakenewsnet.echo.directory
Analytics
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Computed over the full corpus.
Record
- Catalog key
fakenewsnet- Authors
- Shu, Kai; Mahudeswaran, Deepak; Wang, Suhang; Lee, Dongwon; Liu, Huan
- Year
- 2019
- Source paper
- FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media
- DOI / arXiv
- 10.1089/big.2020.0062
- License
- Academic use (see GitHub) (LicenseRef-Research-Only)
- Records
- 23,196
- Text corpus
- article text
- Languages
- en
- Collected
- 2019 (2010s)
- Tasks
- Fake news detection (binary;
label) inferred
Provenance
- Originally published at
- https://github.com/JustinDurham/FakeNewsNet link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 42.0 MB across 4 files. Checksums in MANIFEST.json.
Citations
FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu
Journal Article · Big Data · 2018
Cited by
- Fake news detection: comparative evaluation of BERT-like models and large language models with generative AI-annotated data
Shaina Raza, Drai Paulen-Patterson et al. · Knowledge and Information Systems · 2024 · cited 78× - A Survey of Multimodal Fake News Detection: A Cross-Modal Interaction Perspective
Xiang-Hua Li, Jiao Qiao et al. · IEEE Transactions on Emerging Topics in Computational Intelligence · 2025 · cited 70× - The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News
Yuhan Liu, Yuxuan Liu et al. · Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2025 · cited 55× - Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation
Li-Tian Zhang, Xiaoming Zhang et al. · IEEE Transactions on Knowledge and Data Engineering · 2025 · cited 55× - Ensemble based high performance deep learning models for fake news detection
Mohammed E.Almandouh, Mohammed F. Alrahmawy et al. · Scientific Reports · 2024 · cited 54×
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- Hallucination to truth: a review of fact-checking and factuality evaluation in large language models
Subhey Sadi Rahman, Md. Adnanul Islam et al. · Artificial Intelligence Review · 2025 · cited 53× - Multimodal fusion techniques: Review, data representation, information fusion, and application areas
Sakshini Hangloo, Bhavna Arora · Neurocomputing · 2025 · cited 43× - Modality Interactive Mixture-of-Experts for Fake News Detection
Yi-Fan Liu, Yao-Kun Liu et al. · The Web Conference · 2025 · cited 41× - Veracity‐Oriented Context‐Aware Large Language Models–Based Prompting Optimization for Fake News Detection
Weiqiang Jin, Yang Gao et al. · International Journal of Intelligent Systems · 2025 · cited 40× - Silver Lining in the Fake News Cloud: Can Large Language Models Help Detect Misinformation?
Raghvendra Kumar, Bhargav Goddu et al. · IEEE Transactions on Artificial Intelligence · 2025 · cited 39×
Citation data from Semantic Scholar, retrieved 2026-10-19.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@article{shu2019fakenewsnet,
title = {{FakeNewsNet}: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media},
author = {Shu, Kai and Mahudeswaran, Deepak and Wang, Suhang and Lee, Dongwon and Liu, Huan},
journal = {Big Data},
year = {2019},
doi = {10.1089/big.2019.0062}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Shu, K., Mahudeswaran, D., Wang, S., Lee, D., & Liu, H. (2019). FakeNewsNet: Fake News Detection with Social Context [Data set]. https://doi.org/10.1089/big.2020.0062
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Shu, Kai, et al. FakeNewsNet: Fake News Detection with Social Context. 2019, doi.org/10.1089/big.2020.0062.