NELA-PS: A Dataset of Pink Slime News Articles for the Study of Local News Ecosystems
Not on the map. Why?
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Mar 2024.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 1; 2025: 2.
3 papers.
- 2025Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-generated Text Detectioncited by 3
- 2024HYBRINFOX at CheckThat! 2024 -- Task 1: Enhancing Language Models with Structured Information for Check-Worthiness Estimationcited by 0
- 2025Exposing Pink Slime Journalism: Linguistic Signatures and Robust Detection Against LLM-Generated Threatscited by 0
- 2025Exposing Pink Slime Journalism: Linguistic Signatures and Robust Detection Against LLM-Generated Threats5 Dec 2025
- 2025Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-generated Text Detection21 Jul 2025
- 2024HYBRINFOX at CheckThat! 2024 -- Task 1: Enhancing Language Models with Structured Information for Check-Worthiness Estimation4 Jul 2024