A new multilingual news benchmark, OG2021, contains 10,940 Olympic articles in nine languages grouped into 1,350 manually checked event clusters.
NELA-GT-2019: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
In this paper, we present an updated version of the NELA-GT-2018 dataset (N{\o}rregaard, Horne, and Adal{\i} 2019), entitled NELA-GT-2019. NELA-GT-2019 contains 1.12M news articles from 260 sources collected between January 1st 2019 and December 31st 2019. Just as with NELA-GT-2018, these sources come from a wide range of mainstream news sources and alternative news sources. Included with the dataset are source-level ground truth labels from 7 different assessment sites covering multiple dimensions of veracity. The NELA-GT-2019 dataset can be found at: https://doi.org/10.7910/DVN/O7FWPO
citation-role summary
dataset 1
citation-polarity summary
fields
cs.IR 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
background 1representative citing papers
citing papers explorer
-
The 2021 Tokyo Olympics Multilingual News Article Dataset
A new multilingual news benchmark, OG2021, contains 10,940 Olympic articles in nine languages grouped into 1,350 manually checked event clusters.