Title
NELA-Local: A Dataset of U.S. Local News Articles for the Study of County-Level News Ecosystems
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.
Year
Venue
DocType
2022
International Conference on Web and Social Media (ICWSM)
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Benjamin D. Horne15110.63
Maurício Gruppi201.01
Kenneth Joseph395.91
Jon Green401.01
John P. Wihbey500.34
Sibel Adalı600.34