- W
Webis-Clickbait-16
- webis.de
- anthology.aicmu.ac.cn
3251557Updated 2016
Share
Facebook
Twitter
EmailClick to copy linkLink copiedCiteMartin Potthast; Benno Stein; Matthias Hagen; Sebastian Köpsel (2016). Webis-Clickbait-16 [Dataset]. http://doi.org/10.5281/zenodo.32515573251557Available download formatsUnique identifierhttps://doi.org/10.5281/zenodo.3251557Dataset updated2016Dataset provided byThe Web Technology & Information Systems Network
Friedrich Schiller University Jena
Bauhaus-Universität Weimar
University of Kassel, hessian.AI, and ScaDS.AIAuthorsMartin Potthast; Benno Stein; Matthias Hagen; Sebastian KöpselLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe 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.
- E
Webis Clickbait Corpus 2016 (Webis-Clickbait-16)
- live.european-language-grid.eu
- data.niaid.nih.gov
jsonUpdated Apr 30, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2024). Webis Clickbait Corpus 2016 (Webis-Clickbait-16) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/7534jsonAvailable download formatsDataset updatedApr 30, 2024LicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe 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.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
FacebookTwitterEmailFriedrich Schiller University Jena
Bauhaus-Universität Weimar
University of Kassel, hessian.AI, and ScaDS.AI
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.