@article{Nørregaard_Horne_Adalı_2019, title={NELA-GT-2018: A Large Multi-Labelled News Dataset for the Study of Misinformation in News Articles}, volume={13}, url={https://ojs.aaai.org/index.php/ICWSM/article/view/3261}, DOI={10.1609/icwsm.v13i01.3261}, abstractNote={<p>In this paper, we present a dataset of 713k articles collected between 02/2018-11/2018. These articles are collected directly from 194 news and media outlets including mainstream, hyper-partisan, and conspiracy sources. We incorporate ground truth ratings of the sources from 8 different assessment sites covering multiple dimensions of veracity, including reliability, bias, transparency, adherence to journalistic standards, and consumer trust. The NELA-GT2018 dataset can be found at https://doi.org/10.7910/DVN/ ULHLCB.</p>}, number={01}, journal={Proceedings of the International AAAI Conference on Web and Social Media}, author={Nørregaard, Jeppe and Horne, Benjamin D. and Adalı, Sibel}, year={2019}, month={Jul.}, pages={630-638} }