SemEval-2023 Task 5: Clickbait Spoiling

Maik Fröbe, Benno Stein, Tim Gollub, Matthias Hagen, Martin Potthast


Abstract
In this overview paper, we report on the second PAN~Clickbait Challenge hosted as Task~5 at SemEval~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.
Anthology ID:
2023.semeval-1.312
Volume:
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Atul Kr. Ojha, A. Seza Doğruöz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
2275–2286
Language:
URL:
https://aclanthology.org/2023.semeval-1.312
DOI:
10.18653/v1/2023.semeval-1.312
Bibkey:
Cite (ACL):
Maik Fröbe, Benno Stein, Tim Gollub, Matthias Hagen, and Martin Potthast. 2023. SemEval-2023 Task 5: Clickbait Spoiling. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 2275–2286, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
SemEval-2023 Task 5: Clickbait Spoiling (Fröbe et al., SemEval 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.semeval-1.312.pdf
Video:
 https://aclanthology.org/2023.semeval-1.312.mp4