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2 datasets found
  1. W

    Webis-Clickbait-22

    • webis.de
    • anthology.aicmu.ac.cn
    Updated 2022
    + more versions

  2. webis-clickbait-22

    • kaggle.com
    zip
    Updated Apr 7, 2024

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Matthias Hagen; Maik Fröbe; Artur Jurk; Martin Potthast (2022). Webis-Clickbait-22 [Dataset]. https://webis.de/data/webis-clickbait-22.html

Webis-Clickbait-22

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
2022
Dataset provided by
Friedrich Schiller University Jena
University of Kassel, hessian.AI, and ScaDS.AI
The Web Technology & Information Systems Network
Authors
Matthias Hagen; Maik Fröbe; Artur Jurk; Martin Potthast
License

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

Description

The Webis Clickbait Spoiling Corpus 2022 (Webis-Clickbait-22) contains 5,000 spoiled clickbait posts crawled from Facebook, Reddit, and Twitter. This corpus supports the task of clickbait spoiling, which deals with generating a short text that satisfies the curiosity induced by a clickbait post.

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