Generative artificial intelligence (GenAI) has made it harder to deal with false information online. To tackle this, a new approach involving technology, social sciences, and policy analysis is needed. A framework has been created to study how GenAI content is made and consumed, focusing on how people interact with false information. By understanding these dynamics, we can identify weaknesses in how information spreads and create better policies based on evidence. This interdisciplinary method aims to improve information accuracy and build trust in digital communities. Using GenAI to fight false information can lead to a cycle of progress and problem-solving.