Connectionists: MAHED 2025: the First Shared Task on Multimodal Detection of Hope and Hate Emotions in Arabic Content

[MD.RAFIUL BISWAS]

Dear Colleagues,

We are pleased to announce MAHED 2025, the first multimodal shared task
dedicated to Hope and Hate Detection in Arabic content. This novel
multimodal challenge will be co-located with EMNLP 2025 at the ArabicNLP
2025 Conference.

MAHED 2025 addresses critical real-world challenges in Arabic natural
language processing by focusing on the detection of hate speech, hope
speech, and emotions in both Arabic text and memes. This shared task aims
to advance research in ethical AI while addressing the linguistic diversity
and dialectal variations inherent in Arabic content.

The shared task comprises three subtasks:

*Task 1: Text-based Hope & Hate Speech Classification: *Participants will
develop models to classify Arabic text as containing hope speech, hate
speech, or neutral content.

*Task 2: Multitask Learning for Emotion, Offensive Content, and Hate
Detection: *This task involves simultaneous detection of emotions,
offensive language, and hate speech in Arabic text.

*Task 3: Multimodal Hateful Meme Detection* Participants will work with
Arabic memes to detect hateful content using both textual and visual
modalities.

*Registration Links*:

   - Task 1: https://www.codabench.org/competitions/9136/
   - Task 2: https://www.codabench.org/competitions/9166/
   - Task 3: https://www.codabench.org/competitions/9192/

Important Dates

   - *June 10, 2025*: Training data and evaluation scripts released
   - *July 20, 2025*: Final registration deadline and test set release
   - *July 25, 2025*: Test submission deadline
   - *November 5-9, 2025*: ArabicNLP 2025 Workshop at EMNLP 2025, Suzhou,
   China

Resources and Registration

*Website*: https://marsadlab.github.io/mahed2025/

*Dataset and Code*: https://github.com/marsadlab/MAHED2025Dataset

Best,

Md. Rafiul Biswas
Postdoctoral Researcher
HBKU, Qatar
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20250616/141ec266/attachment.html>