Title | ||
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NELA-Local: A Dataset of U.S. Local News Articles for the Study of County-Level News Ecosystems |
Abstract | ||
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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. |
Year | Venue | DocType |
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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. Horne | 1 | 51 | 10.63 |
Maurício Gruppi | 2 | 0 | 1.01 |
Kenneth Joseph | 3 | 9 | 5.91 |
Jon Green | 4 | 0 | 1.01 |
John P. Wihbey | 5 | 0 | 0.34 |
Sibel Adalı | 6 | 0 | 0.34 |