Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of
  Misinformation in News Articles   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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The categories of this paper are: acc-phys
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The categories of this paper are: math-ph
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The categories of this paper are: nlin
30
The categories of this paper are: q-alg
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The categories of this paper are: nucl-ex
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: cmp-lg
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The categories of this paper are: comp-gas
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The categories of this paper are: quant-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: chem-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: eess
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The categories of this paper are: q-fin