Publication | Open Access
SemEval-2023 Task 5: Clickbait Spoiling
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Citations
16
References
2023
Year
Unknown Venue
Social Media UsersEngineeringCommunicationSemeval-2023 Task 5Media StudiesJournalismText MiningNatural Language ProcessingParaphraseSocial MediaInformation RetrievalSecond Pan~clickbait ChallengeNews SemanticsDisinformation DetectionContent AnalysisUser-generated ContentCuriosity GapMass CommunicationArts
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.
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