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.

Preview

PDF (Published Version) - Published Version Available under License Creative Commons Attribution. Download (145kB) | Preview

 

9

76

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.

Actions (Repository Staff Only)

Item Control Page