@inproceedings{frobe-etal-2023-semeval,
    title = "{S}em{E}val-2023 Task 5: Clickbait Spoiling",
    author = {Fr{\"o}be, Maik  and
      Stein, Benno  and
      Gollub, Tim  and
      Hagen, Matthias  and
      Potthast, Martin},
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Da San Martino, Giovanni  and
      Tayyar Madabushi, Harish  and
      Kumar, Ritesh  and
      Sartori, Elisa},
    booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.semeval-1.312",
    doi = "10.18653/v1/2023.semeval-1.312",
    pages = "2275--2286",
    abstract = "In this overview paper, we report on the second PAN{\textasciitilde}Clickbait Challenge hosted as Task{\textasciitilde}5 at SemEval{\textasciitilde}2023. The challenge{'}s focus is to better support social media users by automatically generating short spoilers that close the curiosity gap induced by a clickbait post. We organized two subtasks: (1) spoiler type classification to assess what kind of spoiler a clickbait post warrants (e.g., a phrase), and (2) spoiler generation to generate an actual spoiler for a clickbait post.",
}

In this overview paper, we report on the second PAN{\textasciitilde}Clickbait Challenge hosted as Task{\textasciitilde}5 at SemEval{\textasciitilde}2023. The challenge{'}s focus is to better support social media users by automatically generating short spoilers that close the curiosity gap induced by a clickbait post. We organized two subtasks: (1) spoiler type classification to assess what kind of spoiler a clickbait post warrants (e.g., a phrase), and (2) spoiler generation to generate an actual spoiler for a clickbait post.
Fr{\"o}be, Maik Stein, Benno Gollub, Tim Hagen, Matthias Potthast, Martin
SemEval-2023 Task 5: Clickbait Spoiling