Dear Colleagues,

We are announcing that the Dev phase of the M-DAIGT shared task has started, 
and the registration deadline has been extended until 7 May 2025.
The Multi-Domain Detection of AI-Generated Text (M-DAIGT) shared task, hosted 
at RANLP 2025, is bringing together researchers to explore methods for 
detecting AI-generated text across multiple domains, with a focus on news 
articles and academic writing.

We invite participation in two subtasks:

  1.  News Article Detection (NAD): Classify news articles and snippets as 
human-written or AI-generated.
  2.  Academic Writing Detection (AWD): Identify AI-generated content within 
student coursework and academic research across various disciplines.

  *
Participants will receive balanced datasets containing human-written and 
AI-generated texts from multiple language models. Evaluation will be conducted 
on the Codabench platform.


Evaluation Metrics:

  *
Primary: F1-score, Accuracy, Precision, Recall
  *   Secondary: Robustness across text lengths, domains, and generation sources


Important Dates:

  *
Training Data Release: March 31, 2025
  *
Development Phase Start: May 1, 2025
  *
Evaluation Data Release: May 7, 2025
  *
Evaluation Period: May 8–15, 2025
  *
Paper Submission Deadline: June 1, 2025
  *   Workshop Dates: September 11–12, 2025


More Information and Registration:

  *
Website: https://ezzini.github.io/M-DAIGT/
  *   GitHub Repository: https://github.com/ezzini/M-DAIGT
  *
Registration: Click here to register for solo or team 
participation<https://docs.google.com/forms/d/e/1FAIpQLSextZDY7qjGRJSLCBNISPcBNQZwusRWKvyxb9uuBxyJddJfdA/viewform>
  *
Participation:
        *
Shared Task1 News Article Detection (NAD): 
https://www.codabench.org/competitions/7391/
        *
Shared Task2 Academic Writing Detection (AWD): 
https://www.codabench.org/competitions/7329/
  *


We look forward to your participation and encourage you to share this with 
colleagues who may be interested. For any queries, feel free to reach out to 
the organizers.

Yours sincerely,
The M-DAIGT Organizers

**********************************************************************
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