TY - JOUR AU - Nørregaard, Jeppe AU - Horne, Benjamin D. AU - Adalı, Sibel PY - 2019/07/06 Y2 - 2024/03/28 TI - NELA-GT-2018: A Large Multi-Labelled News Dataset for the Study of Misinformation in News Articles JF - Proceedings of the International AAAI Conference on Web and Social Media JA - ICWSM VL - 13 IS - 01 SE - Dataset Papers DO - 10.1609/icwsm.v13i01.3261 UR - https://ojs.aaai.org/index.php/ICWSM/article/view/3261 SP - 630-638 AB - <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> ER -