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  1. Webis-Clickbait-16

    • webis.de
    • zenodo.org
    3251557
    Updated 2016
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Martin Potthast; Benno Stein; Matthias Hagen; Sebastian K�psel (2016). Webis-Clickbait-16 [Dataset]. http://doi.org/10.5281/zenodo.3251557
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Webis-Clickbait-16

3251557Available download formats
Dataset updated
2016
Dataset provided by
Martin-Luther-University Halle-Wittenberghttp://www.uni-halle.de/
Leipzig Universityhttp://www.uni-leipzig.de/
Bauhaus-Universität Weimarhttp://www.uni-weimar.de/
The Web Technology & Information Systems Network
Authors
Martin Potthast; Benno Stein; Matthias Hagen; Sebastian K�psel
License

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

Description

The Webis Clickbait Corpus 2016 (Webis-Clickbait-16) comprises 2992 Twitter tweets sampled from top 20 news publishers as per retweets in 2014. The tweets have been manually annotated by three independent annotators with regard to whether they can be considered clickbait. A total of 767 tweets are considered clickbait by the majority of annotators. The majority vote of reviewers can be used as a ground truth to build clickbait detection technology. This corpus is the first of its kind and gives rise to the development of technology to tackle clickbait.

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