1 dataset found

W
Webis-Editorial-Quality-18
webis.de
anthology.aicmu.ac.cn
1340629
Updated 2018
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Roxanne El Baff; Henning Wachsmuth; Khalid Al-Khatib; Benno Stein (2018). Webis-Editorial-Quality-18 [Dataset]. http://doi.org/10.5281/zenodo.1340629
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1340629Available download formats
Unique identifier
https://doi.org/10.5281/zenodo.1340629
Dataset updated
2018
Dataset provided by
The Web Technology & Information Systems Network
Bauhaus-Universität Weimar
Leibniz Universität Hannover
University of Groningen
Deutsches Zentrum für Luft- und Raumfahrt
Authors
Roxanne El Baff; Henning Wachsmuth; Khalid Al-Khatib; Benno Stein
License
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Description
The Webis-Editorials-18 corpus comprises 1000 news editorials that are annotated in accordance with a new notion for argumentation quality. The notion regards whether an editorial brings readers of opposing beliefs closer together or rather increases the gap between them. In particular, we label each editorial in the corpus as challenging, reinforcing, or no-effect. To account for the political ideology of the target readers, each editorial is labelled by three liberals and three conservatives.
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Click to copy link

Link copied

Cite

Roxanne El Baff; Henning Wachsmuth; Khalid Al-Khatib; Benno Stein (2018). Webis-Editorial-Quality-18 [Dataset]. http://doi.org/10.5281/zenodo.1340629

Webis-Editorial-Quality-18

Explore at:

6 scholarly articles cite this dataset (View in Google Scholar)

1340629Available download formats

Unique identifier

https://doi.org/10.5281/zenodo.1340629

Dataset updated

2018

Dataset provided by

The Web Technology & Information Systems Network
Bauhaus-Universität Weimar
Leibniz Universität Hannover
University of Groningen
Deutsches Zentrum für Luft- und Raumfahrt

Authors

Roxanne El Baff; Henning Wachsmuth; Khalid Al-Khatib; Benno Stein

License

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

Description

The Webis-Editorials-18 corpus comprises 1000 news editorials that are annotated in accordance with a new notion for argumentation quality. The notion regards whether an editorial brings readers of opposing beliefs closer together or rather increases the gap between them. In particular, we label each editorial in the corpus as challenging, reinforcing, or no-effect. To account for the political ideology of the target readers, each editorial is labelled by three liberals and three conservatives.