SubmissionNumber#=%=#35
FinalPaperTitle#=%=#Team Curie at HSD-2Lang 2024: Hate Speech Detection in Turkish and Arabic Tweets using BERT-based models
ShortPaperTitle#=%=#
NumberOfPages#=%=#
CopyrightSigned#=%=#
JobTitle#==#
Organization#==#
Abstract#==#Team Curie at HSD-2Lang 2024: Team Curie at HSD-2Lang 2024: Hate Speech Detection in Turkish and
Arabic Tweets using BERT-based models

This paper has presented our methodologies and findings in tackling hate speech detection in Turkish and Arabic tweets as part of the HSD-2Lang 2024 contest. Through innovative approaches and the fine-tuning of BERT-based models, we have achieved notable F1 scores, demonstrating the potential of our models in addressing the linguistic challenges inherent in Turkish and Arabic languages. The ablation study for Subtask A provided valuable insights into the impact of preprocessing and data balancing on model performance, guiding future enhancements. Our work contributes to the broader goal of improving online content moderation and safety, with future research directions including the expansion to more languages and the integration of multi-modal data and explainable AI techniques.
Author{1}{Firstname}#=%=#Ehsan
Author{1}{Lastname}#=%=#Barkhodar
Author{1}{Email}#=%=#ebarkhordar23@ku.edu.tr
Author{1}{Affiliation}#=%=#Koç University
Author{2}{Firstname}#=%=#Işık S.
Author{2}{Lastname}#=%=#Topçu
Author{2}{Email}#=%=#itopcu21@ku.edu.tr
Author{2}{Affiliation}#=%=#Koç University
Author{3}{Firstname}#=%=#Ali
Author{3}{Lastname}#=%=#Hürriyetoğlu
Author{3}{Email}#=%=#ali.hurriyetoglu@wur.nl
Author{3}{Affiliation}#=%=#Wageningen Food Safety Research (WFSR)

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