Dear all,

We are extending the regular paper submission deadline of the workshop CASE 2024 @ EACL to Jan 4, 2024 (AoE) [1].

Please pay attention to the shared tasks organized in the scope of CASE 2024. The new ones are:

*1- Climate Activism Stance and Hate Event Detection Shared Task at CASE 2024* 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. Codalab Link: https://codalab.lisn.upsaclay.fr/competitions/16206 Registration: In order to register for the shared task, please send a request in codalab. The organizers will approve requests on a daily basis. GitHub Page: https://github.com/therealthapa/case2024-climate

*2- Hate Speech Detection in Turkish and Arabic Tweets (HSD-2Lang) (7k Euros total award)* Hate speech, which targets groups based on characteristics such as ethnicity, nationality, religion, colour, gender, and sexual orientation, is a significant problem on social media platforms. Automated detection of such content is crucial for effective content moderation and minimising societal harm, and can also be used in socio-political event analysis. Following the SIU2023-NST competition organized to benchmark progress in Turkish hate speech detection and classification, we are organizing a new shared task in conjunction with CASE @ EACL 2024. This shared task focuses on tackling the challenge of identifying hate speech in tweets in Turkish and Arabic languages. The task is divided into two subtasks: A) Hate Speech Detection in Turkish across Various Contexts; B) Hate Speech Detection with Limited Data in Arabic More details can be found at: https://github.com/boun-tabi/case-2024-hsd-2lang/

Please check the website for detailed information and contact us for anything you think we can help.

Best wishes,

Ali

[1] https://emw.ku.edu.tr/case-2024/, The 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text