*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*