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ZENODO
Dataset . 2018
License: CC BY SA
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY SA
Data sources: Datacite
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Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus

Research datakeyboard_double_arrow_right Dataset 30 Oct 2018 English Publisher:Zenodo
Authors: El Baff, Roxanne; Wachsmuth, Henning; Al-Khatib, Khalid; Stein, Benno;

doi: 10.5281/zenodo.1340629 , 10.5281/zenodo.1340628

Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus

Abstract

The Webis-Editorial-Quality-18 corpus is a novel corpus with 1000 news editorials. The aim of this Corpus is to study a new notion for news editorials quality. It 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.

Related Organizations
Keywords

computational argumentation, argumentation quality, argumentation assessment, news editorials corpus

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