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2 datasets found
  1. Webis-Editorial-Quality-18

    • webis.de
    • temir.org
    Updated 2018
  2. Data from: Challenge or Empower: Revisiting Argumentation Quality in a News...

    • zenodo.org
    • figshare.com
    Updated Oct 30, 2018
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  • Dataset updated 2018
Dataset provided by
University of Paderbornhttp://www.uni-paderborn.de/
Bauhaus University, Weimarhttp://www.uni-weimar.de/
The Web Technology & Information Systems Network
Al-Khatib, Khalid; Stein, Benno; Wachsmuth, Henning; El Baff, Roxanne

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically


The Webis-Editorials-18 corpus is a novel corpus with 1000 news editorials. In the paper, 'Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus', we introduce a new notion for news editorials quality based on whether an editorial brings readers of opposing beliefs closer together or rather increases the gap between them. For this reason, we create a Corpus that contains the quality assessments of 1000 news editorials, each annotated by three liberals and three conservatives. The annotators also reported free-text reasons for the effects they observed.

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