Join ML researchers Miras Baisbay and Ilyas Nagiyev to explore SCOPE, a system that evaluates news media bias, factuality, and credibility. This event, moderated by Askar Aituov, is ideal for those interested in AI and media transparency.
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We meet with ML researchers Miras Baisbay and Ilyas Nagiyev. Authors of research paper SCOPE: Source Credibility and Outlet Profiling Engine. The paper was been accepted to the EMNLP 2026 System Demonstrations Track.
SCOPE is a multi-agent system for profiling news media outlets with respect to bias, factuality, and credibility. The goal was to explore how evidence-grounded agent workflows can make media profiling more transparent and reliable, while allowing users to inspect the evidence behind the system’s assessments.
Speakers bios:
https://www.linkedin.com/in/miras-baisbay/
https://www.linkedin.com/in/ilyas-nagiyev/
Moderator Askar Aituov, editor at Devs.kz
https://www.linkedin.com/in/askaraituov/
Collecting questions for speakers. Feel free to write questions in reply to this email. We will ask your questions or you can ask it yourself via chat in youtube!
