Dear Colleagues,

We are pleased to announce the Multi-Domain Detection of AI-Generated Text 
(M-DAIGT) shared task, hosted at RANLP 2025. This task brings 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 CodaLab platform.


Evaluation Metrics:

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


Important Dates:

  *   Training Data Release: March 31, 2025
  *   Evaluation Data Release: April 30, 2025
  *   Evaluation Period: May 2–15, 2025
  *   Paper Submission Deadline: May 25, 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>
  *   Join us on Slack: Slack 
Workspace<https://mdaigtsharedt-xye5995.slack.com/?redir=%2Fssb%2Fredirect>


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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