Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open Challenges
Javier Pastor-Galindo, Pantaleone Nespoli, José A. Ruipérez‐Valiente
Abstract
The affordances that generative artificial intelligence can have in mis/disinformation contexts are major threats to our digitalized society. We present a research framework to generate customized agent-based social networks for disinformation simulations that would enable understanding and evaluating the phenomena.
Topics & Concepts
DisinformationMisinformationComputer scienceOpen researchData scienceSocial mediaComputer securityWorld Wide WebTopic ModelingMisinformation and Its ImpactsExpert finding and Q&A systems