Fakeddit: Multimodal Fake News Detection
A Fakeddit (multimodal fake news benchmark) dataset of 965,647 Reddit submissions with text, images and metadata, collected by Nakamura et al. via the Reddit API (2020). Each record holds the post title, text, image URL, comment count, score, timestamp and 2-, 3- and 6-way veracity labels (6-way: true, satire/parody, misleading content, imposter content, false connection, manipulated content). Suitable for fake news detection, multimodal learning and misinformation classification.
Cite this dataset at
fakeddit.echo.directory
Analytics
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Sampled: text metrics from 50K of 965.6K records; topic model from 20K.
Record
- Catalog key
fakeddit- Authors
- Nakamura, Kai; Levy, Sharon; Wang, William Yang
- Year
- 2019
- Source paper
- r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection
- DOI / arXiv
- 10.48550/arXiv.1911.03854
- License
- Academic use (see GitHub) (LicenseRef-Research-Only)
- Records
- 965,647
- Text corpus
- post text
- Languages
- en
- Collected
- 2020 (2020s)
- Tasks
- Fake news detection (multi-class;
label) inferred - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://github.com/entitize/Fakeddit link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 264.1 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{https://doi.org/10.48550/arxiv.1911.03854,
doi = {10.48550/ARXIV.1911.03854},
url = {https://arxiv.org/abs/1911.03854},
author = {Nakamura, Kai and Levy, Sharon and Wang, William Yang},
keywords = {Computation and Language (cs.CL), Computers and Society (cs.CY), Information Retrieval (cs.IR), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection},
publisher = {arXiv},
year = {2019},
copyright = {arXiv.org perpetual, non-exclusive license}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Nakamura, K., Levy, S., & Wang, W. Y. (2019). Fakeddit: Multimodal Fake News Detection [Data set]. https://doi.org/10.48550/arXiv.1911.03854
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Nakamura, Kai, et al. Fakeddit: Multimodal Fake News Detection. 2019, doi.org/10.48550/arXiv.1911.03854.