AAAI

Association for the Advancement of Artificial Intelligence

Home > Proceedings / Proceedings of the International AAAI Conference on Web and Social Media, 13 > Vol. 13 (2019): Thirteenth International AAAI Conference on Web and Social Media

NELA-GT-2018: A Large Multi-Labelled News Dataset for the Study of Misinformation in News Articles

Authors

Jeppe Nørregaard,Benjamin D. Horne,Sibel Adalı

Technical University of Denmark,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute


Proceedings:

Vol. 13 (2019): Thirteenth International AAAI Conference on Web and Social Media

Volume

Issue:

Vol. 13 (2019): Thirteenth International AAAI Conference on Web and Social Media

Track:

Dataset Papers

Downloads:

Download PDF

Abstract:

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.

DOI:

10.1609/icwsm.v13i01.3261


ICWSM

Vol. 13 (2019): Thirteenth International AAAI Conference on Web and Social Media