Multimodal Hate Speech Event Detection - Shared Task 4

Thapa, Surendrabikram, Jafri, Farhan Ahmad, Hürriyetoğlu, Ali, Vargas, Francielle, Lee, Roy Ka Wei, and Naseem, Usman (2023) Multimodal Hate Speech Event Detection - Shared Task 4. In: Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text. pp. 151-159. From: CASE 2023: 6thWorkshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 7 September 2023, Varna, Bulgaria.

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Abstract

Ensuring the moderation of hate speech and its targets emerges as a critical imperative within contemporary digital discourse. To facilitate this imperative, the shared task Multimodal Hate Speech Event Detection was organized in the sixth CASE workshop co-located at RANLP 2023. The shared task has two subtasks. The sub-task A required participants to pose hate speech detection as a binary problem i.e. they had to detect if the given text-embedded image had hate or not. Similarly, sub-task B required participants to identify the targets of the hate speech namely individual, community, and organization targets in text-embedded images. For both sub-tasks, the participants were ranked on the basis of the F1-score. The best F1-score in sub-task A and sub-task B were 85.65 and 76.34 respectively. This paper provides a comprehensive overview of the performance of 13 teams that submitted the results in Subtask A and 10 teams in Subtask B.

Item ID: 82411
Item Type: Conference Item (Research - E1)
ISBN: 9789544520892
Copyright Information: Creative Commons 4.0 BY
Date Deposited: 20 Mar 2024 00:28
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460307 Multimodal analysis and synthesis @ 50%
46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460208 Natural language processing @ 50%
SEO Codes: 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence @ 100%
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