Misinformation & Fake News Text Dataset
A News Articles (multiple sources) dataset of 85,917 articles (43,610 fake, 34,941 true, 7,366 russian propaganda), collected by Steven Peutz via Kaggle (2022); Russian propaganda subset sourced from the EUvsDisinfo Project (2015-present). Each record contains full article text and veracity label (fake, true, or russian_propaganda). combination of general fake/true news articles with a dedicated Russian propaganda subset from the EUvsDisinfo database, enabling comparative analysis across disinformation types. Suitable for fake news detection, misinformation topic modeling, propaganda characterization, and classification benchmarking.
Cite this dataset at
misinformation-fakenews.echo.directory
Analytics
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Sampled: text metrics from 50K of 85.9K records; topic model from 20K.
Record
- Catalog key
misinformation-fakenews- Authors
- Peutz, Steven
- Year
- 2022
- Source paper
- Misinformation & Fake News text dataset 79k
- License
- GNU Lesser General Public License v3.0 (LGPL-3.0-only)
- Records
- 85,917
- Text corpus
- article text
- Languages
- en
- Collected
- 2015-2022 (2010s, 2020s)
- Tasks
- Fake news detection (binary;
is_fake) inferred - Region
- Russia · Europe (inferred: named in the description)
Provenance
- Originally published at
- https://www.kaggle.com/datasets/stevenpeutz/misinformation-fake-news-text-dataset-79k unverified
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 222.3 MB across 3 files. Checksums in MANIFEST.json.
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{peutz2022misinformation,
title = {Misinformation \& Fake News text dataset 79k},
author = {Peutz, Steven},
year = {2022},
howpublished = {\url{https://www.kaggle.com/datasets/stevenpeutz/misinformation-fake-news-text-dataset-79k}}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Peutz, S. (2022). Misinformation & Fake News Text Dataset [Data set]. https://misinformation-fakenews.echo.directory/
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Peutz, Steven. Misinformation & Fake News Text Dataset. 2022, misinformation-fakenews.echo.directory/.