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

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          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.

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          The relative value of labeled and unlabeled samples in pattern recognition with an unknown mixing parameter

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            Author and article information

            Journal
            02 April 2019
            Article
            1904.01546
            c1e8dea4-2b49-4a97-a8d9-30b825e6949e

            http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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            Published at ICWSM 2019
            cs.CY

            Applied computer science
            Applied computer science

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