SemEval-2023 Task 5: Clickbait Spoiling
Maik Fr\"{o}be, Benno Stein, Tim Gollub, Matthias Hagen, Martin Potthast
The 17th International Workshop on Semantic Evaluation (SemEval-2023) Task overview papers Paper
TLDR:
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
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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.