NELA-PS: Pink Slime News Dataset
A NELA-PS (pink slime local news) dataset of 7,910,965 articles from 1,093 pink slime news sources, collected by Horne and Gruppi, published via Harvard Dataverse (2024). Each record contains full article text, headline, source outlet name, publication date, author, location, network, and URL. The dataset is notable for its largest available dataset of pink slime news — low-quality partisan content systematically framed as authentic local news, spanning 1,093 outlets over 2.5 years with stratified cross-outlet topic modeling. Intended for research into misinformation detection, local news ecosystem analysis, partisan content identification, and pink slime outlet characterisation.
Cite this dataset at
nela-ps.echo.directory
Analytics
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Sampled: text metrics from 50K of 7.9M records; topic model from 20K.
Record
- Catalog key
nela-ps- Authors
- Horne, Benjamin; Gruppi, Mauricio
- Year
- 2024
- Source paper
- NELA-PS: A Dataset of Pink Slime News Articles for the Study of Local News Ecosystems
- DOI / arXiv
- 10.7910/DVN/YHWTFC
- License
- CC BY-NC 4.0 (CC-BY-NC-4.0)
- Records
- 7,910,965
- Text corpus
- article text
- Languages
- en
- Collected
- 2021 to 2024 (2020s)
Provenance
- Originally published at
- https://doi.org/10.7910/DVN/YHWTFC unverified
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 9.5 GB across 1 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}
}
@data{horne2024nelaps,
author = {Horne, Benjamin and Gruppi, Mauricio},
year = {2024},
title = {{NELA-PS: A Dataset of Pink Slime News Articles for the Study of Local News Ecosystems}},
publisher = {Harvard Dataverse},
doi = {10.7910/DVN/YHWTFC}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Horne, B., & Gruppi, M. (2024). NELA-PS: Pink Slime News Dataset [Data set]. https://doi.org/10.7910/DVN/YHWTFC
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Horne, Benjamin, and Mauricio Gruppi. NELA-PS: Pink Slime News Dataset. 2024, doi.org/10.7910/DVN/YHWTFC.