ISOT Fake News Dataset
A ISOT (fake news dataset) dataset of 44,898 news articles labeled fake/real, collected by ISOT via Reuters and various sources (2017). Each record contains news article text (title + content) and binary label (is_fake: 1=fake, 0=real). The dataset is notable for its well-balanced dataset of fake and real news articles for misinformation research. Intended for research into fake news detection, text classification, and misinformation analysis.
Cite this dataset at
isot-fake-news.echo.directory
Analytics
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Computed over the full corpus.
Record
- Catalog key
isot-fake-news- Authors
- ISOT
- Year
- 2017
- DOI / arXiv
- 10.1007/978-3-319-69155-8_9
- License
- Academic use (see Kaggle) (LicenseRef-Research-Only)
- Records
- 44,898
- Text corpus
- article text
- Languages
- en
- Collected
- 2017 (2010s)
- Tasks
- Fake news detection (binary;
is_fake) inferred
Provenance
- Originally published at
- https://www.kaggle.com/datasets/gaurangmistry/isot-fake-news-dataset unverified
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 111.0 MB across 2 files. Checksums in MANIFEST.json.
Citations
Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques
H. Ahmed, I. Traoré, Sherif Saad
Journal Article · International Conference on Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments · 2017
Cited by
- Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal, Alex Nichol · Neural Information Processing Systems · 2021 · cited 13.4K× - FakeBERT: Fake news detection in social media with a BERT-based deep learning approach
R. Kaliyar, Anurag Goswami et al. · Multimedia tools and applications · 2021 · cited 790× - Fake News Detection Using Machine Learning Ensemble Methods
Iftikhar Ahmad, M. Yousaf et al. · Complex · 2020 · cited 418× - FNDNet - A deep convolutional neural network for fake news detection
R. Kaliyar, Anurag Goswami et al. · Cognitive Systems Research · 2020 · cited 380× - An ensemble machine learning approach through effective feature extraction to classify fake news
S. Hakak, M. Alazab et al. · Future generations computer systems · 2021 · cited 350×
Show all 10
- A benchmark study of machine learning models for online fake news detection
Junaed Younus Khan, Md. Tawkat Islam Khondaker et al. · Machine Learning with Applications · 2021 · cited 244× - Behind the cues: A benchmarking study for fake news detection
Georgios Gravanis, A. Vakali et al. · Expert systems with applications · 2019 · cited 218× - Fake News Detection Using Machine Learning Approaches
Zeba Khanam, B. N. Alwasel et al. · IOP Conference Series: Materials Science and Engineering · 2021 · cited 217× - Capturing the Style of Fake News
Piotr Przybyła · AAAI Conference on Artificial Intelligence · 2020 · cited 191× - Automatic Online Fake News Detection Combining Content and Social Signals
M. D. Della Vedova, E. Tacchini et al. · Conference of the Open Innovations Association · 2018 · cited 181×
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}
}
@misc{isot_fake_news,
title = {ISOT Fake News Dataset},
author = {{ISOT}},
year = {2017},
url = {https://www.kaggle.com/datasets/gaurangmistry/isot-fake-news-dataset}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
ISOT (2017). ISOT Fake News Dataset [Data set]. https://doi.org/10.1007/978-3-319-69155-8_9
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
ISOT. ISOT Fake News Dataset. 2017, doi.org/10.1007/978-3-319-69155-8_9.