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arXiv · 2102.04567

NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

Maurício Gruppi·Benjamin D. Horne·Sibel Adalı
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Abstract

In this paper, we present an updated version of the NELA-GT-2019 dataset, entitled NELA-GT-2020. NELA-GT-2020 contains nearly 1.8M news articles from 519 sources collected between January 1st, 2020 and December 31st, 2020. Just as with NELA-GT-2018 and NELA-GT-2019, these sources come from a wide range of mainstream news sources and alternative news sources. Included in the dataset are source-level ground truth labels from Media Bias/Fact Check (MBFC) covering multiple dimensions of veracity. Additionally, new in the 2020 dataset are the Tweets embedded in the collected news articles, adding an extra layer of information to the data. The NELA-GT-2020 dataset can be found at https://doi.org/10.7910/DVN/CHMUYZ.

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Maurício Gruppi, Benjamin D. Horne, Sibel Adalı. 2021-02-08. NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles. https://arxiv.org/abs/2102.04567

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