Task Description: Hate speech detection and stance detection are some of the most important aspects of event identification during climate change activism events. In the case of hate speech detection, the event is the occurrence of hate speech, the entity is the target of the hate speech, and the relationship is the connection between the two. The hate speech event has targets to which hate is directed. Identification of targets is an important task within hate speech event detection. Additionally, stance event detection is an important part of assessing the dynamics of protests and activisms for climate change. This helps to understand whether the activist movements and protests are being supported or opposed. This task will have three subtasks (i) Hate speech identification (ii) Targets of Hate Speech Identification (iii) Stance Detection.

Registration: In order to register for the shared task, please send a request in codalab. The organizers will approve requests on a daily basis.

Task Description: Hate speech detection is one of the most important aspects of event identification during political events like invasions. In the case of hate speech detection, the event is the occurrence of hate speech, the entity is the target of the hate speech, and the relationship is the connection between the two. Since multimodal content is widely prevalent across the internet, the detection of hate speech in text-embedded images is very important. Given a text-embedded image in the context of the Russia-Ukraine crisis, this task aims to automatically identify hate speech and its targets. This task will have two subtasks (i) Hate speech identification (ii) Targets of Hate Speech Identification.

Codalab Link to Multimodal Hate Speech Event Detection Shared Task at CASE 2023: https://codalab.lisn.upsaclay.fr/competitions/13087