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    <abstract>In this paper, we propose a sieve filtering-based approach that can retrieve facts to invalidate claims made in social media posts. The fact filters are initially coarse-grained, based on the original language of the social media posts, and end with fine-grained filters based on the exact time frame in which the posts were uploaded online. This streamlined approach achieved a 0.883 retrieval success rate in the monolingual task while maintaining a scalable efficiency level of processing a social media post per 0.07 seconds.</abstract>
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%0 Conference Proceedings
%T NCL-AR at SemEval-2025 Task 7: A Sieve Filtering Approach to Refute the Misinformation within Harmful Social Media Posts
%A Robertson, Alex
%A Liang, Huizhi(elly)
%Y Rosenthal, Sara
%Y Rosá, Aiala
%Y Ghosh, Debanjan
%Y Zampieri, Marcos
%S Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-273-2
%F robertson-liang-2025-ncl
%X In this paper, we propose a sieve filtering-based approach that can retrieve facts to invalidate claims made in social media posts. The fact filters are initially coarse-grained, based on the original language of the social media posts, and end with fine-grained filters based on the exact time frame in which the posts were uploaded online. This streamlined approach achieved a 0.883 retrieval success rate in the monolingual task while maintaining a scalable efficiency level of processing a social media post per 0.07 seconds.
%U https://aclanthology.org/2025.semeval-1.44/
%P 308-313

Markdown (Informal)

[NCL-AR at SemEval-2025 Task 7: A Sieve Filtering Approach to Refute the Misinformation within Harmful Social Media Posts](https://aclanthology.org/2025.semeval-1.44/) (Robertson & Liang, SemEval 2025)

• NCL-AR at SemEval-2025 Task 7: A Sieve Filtering Approach to Refute the Misinformation within Harmful Social Media Posts (Robertson & Liang, SemEval 2025)

ACL

• Alex Robertson and Huizhi(elly) Liang. 2025. NCL-AR at SemEval-2025 Task 7: A Sieve Filtering Approach to Refute the Misinformation within Harmful Social Media Posts. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 308–313, Vienna, Austria. Association for Computational Linguistics.