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

Authors

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

School of Information Sciences, The University of Tennessee Knoxville,Computer Science, Rensselaer Polytechnic Institute,Computer Science and Engineering, University at Buffalo,Network Science Institute, Northeastern University,School of Journalism and Media Innovation, Northeastern University,Computer Science, Rensselaer Polytechnic Institute


Proceedings:

Vol. 16 (2022): Proceedings of the Sixteenth International AAAI Conference on Web and Social Media

Volume

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Vol. 16 (2022): Proceedings of the Sixteenth International AAAI Conference on Web and Social Media

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Dataset Papers

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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.

DOI:

10.1609/icwsm.v16i1.19379


ICWSM

Vol. 16 (2022): Proceedings of the Sixteenth International AAAI Conference on Web and Social Media