research data . Dataset . 2018

SemEval 2019 Task 4 - Hyperpartisan News Detection

Kiesel, Johannes; Potthast, Martin; Mestre, Maria; Rishabh Shukla; Stein, Benno; Corney, David; Vincent, Emmanuel; Adineh, Payam;
Restricted English
  • Published: 11 Jul 2018
  • Publisher: Zenodo
Abstract
<p>Trial dataset for the SemEval 2019 Task 4: Hyperpartisan News Detection.</p> <p>The dataset contains ~200.000 articles: ~100.000 hyperpartisan and ~100.000 least biased. All articles are labeled by the overall bias of the publisher as provided by BuzzFeed journalists or MediaBiasFactCheck.com.</p> <p>The trial data is not fully cleaned. Due to some encoding error, some characters are replaced by question marks. Some text is duplicated. Some tags are not cleaned yet. Also, some articles may be contained several times when they are published by several publishers. These errors will be fixed stepwise for the final data.</p> <p>&nbsp;</p> <p>The final article dat...
Subjects
free text keywords: Hyperpartisan news, SemEval, SemEval 2019, SemEval 2019 Task 4, Biased news, News bias, Hyperpartisan, Hyperpartisanship
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Zenodo
Dataset . 2018
Provider: Zenodo
Zenodo
Dataset . 2018
Provider: Datacite
Zenodo
Dataset . 2018
Provider: Zenodo
Zenodo
Dataset . 2018
Provider: Datacite
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research data . Dataset . 2018

SemEval 2019 Task 4 - Hyperpartisan News Detection

Kiesel, Johannes; Potthast, Martin; Mestre, Maria; Rishabh Shukla; Stein, Benno; Corney, David; Vincent, Emmanuel; Adineh, Payam;