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NELA-GT-2018: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
- Publication Year :
- 2019
-
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-GT-2018 dataset can be found at https://doi.org/10.7910/DVN/ULHLCB.<br />Comment: Published at ICWSM 2019
- Subjects :
- Computer Science - Computers and Society
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1904.01546
- Document Type :
- Working Paper