# NELA-PS: A Dataset of Pink Slime News Articles for the Study of Local News Ecosystems

arXiv: https://arxiv.org/abs/2403.13657 · HTML: https://mlsanity.com/paper/2403.13657/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Mar 2024.

## Built on by (most cited first, 3 of 3)

- [Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-generated Text Detection](https://mlsanity.com/paper/2507.15286/) (2025)
- [HYBRINFOX at CheckThat! 2024 -- Task 1: Enhancing Language Models with Structured Information for Check-Worthiness Estimation](https://mlsanity.com/paper/2407.03850/) (2024)
- [Exposing Pink Slime Journalism: Linguistic Signatures and Robust Detection Against LLM-Generated Threats](https://mlsanity.com/paper/2512.05331/) (2025)

## Abstract (arXiv)

Pink slime news outlets automatically produce low-quality, often partisan content that is framed as authentic local news. Given that local news is trusted by Americans and is increasingly shutting down due to financial distress, pink slime news outlets have the potential to exploit local information voids. Yet, there are gaps in understanding of pink slime production practices and tactics, particularly over time. Hence, to support future research in this area, we built a dataset of over 7.9M articles from 1093 pink slime sources over 2.5 years.