NELA-GT-2022: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
arXiv (Cornell University)（2022）
摘要
In this paper, we present the fifth installment of the NELA-GT datasets, NELA-GT-2022. The dataset contains 1,778,361 articles from 361 outlets between January 1st, 2022 and December 31st, 2022. Just as in past releases of the dataset, NELA-GT-2022 includes outlet-level veracity labels from Media Bias/Fact Check and tweets embedded in collected news articles. The NELA-GT-2022 dataset can be found at: https://doi.org/10.7910/DVN/AMCV2H
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关键词
misinformation,news articles,multi-labelled
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