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

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arxiv 2203.08600 v1 pith:DV7HCBME submitted 2022-03-16 cs.CY cs.MMcs.SI

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

Benjamin D. Horne , Maur\'icio Gruppi , Kenneth Joseph , Jon Green , John P. Wihbey , Sibel Adal{\i} This is my paper
classification cs.CY cs.MMcs.SI
keywords newsdatasetlocalarticlescounty-levelnela-localoutletsacross
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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