Cross-model agentic pipeline framework for generative AI disinformation data production

Generative AI is advancing rapidly, offering the potential for both positive and harmful applications. A notable risk is its use in generating large-scale disinformation, intentionally false content designed to mislead the public opinion. In this work, we explore the potential of cross-model disinformation pipeline implemented by agentic AI that can synthesize news articles in different languages and news platforms with minimal human intervention.

Interns: Maggie Zhou, Chelsea Sun, Hyoin Yoon, Suhas Anumolu, and Aarna Mistry

Mentor: Yungjun Yoo (FPS)