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arXiv · 2203.08600

NELA-Local: A Dataset of U.S. Local News Articles for the Study of County-level News Ecosystems

Benjamin D. Horne·Maurício Gruppi·Kenneth Joseph·Jon Green·John P. Wihbey·Sibel Adalı
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Abstract

In this paper, we present a dataset of over 1.4M online news articles from 313 local U.S. news outlets published over 20 months (between April 4th, 2020 and December 31st, 2021). These outlets cover a geographically diverse set of communities across the United States. In order to estimate characteristics of the local audience, included with this news article data is a wide range of county-level metadata, including demographics, 2020 Presidential Election vote shares, and community resilience estimates from the U.S. Census Bureau. The NELA-Local dataset can be found at: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/GFE66K.

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Benjamin D. Horne, Maurício Gruppi, Kenneth Joseph, Jon Green, John P. Wihbey, Sibel Adalı. 2022-03-16. NELA-Local: A Dataset of U.S. Local News Articles for the Study of County-level News Ecosystems. https://arxiv.org/abs/2203.08600

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