NELA-GT-2022: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
This dataset aids researchers studying misinformation in news, but it is incremental as it extends an existing series.
The authors introduced NELA-GT-2022, a large dataset of 1,778,361 news articles from 361 outlets in 2022, to support misinformation research, building on previous releases with similar features like veracity labels and embedded tweets.
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