Persuasive Argument

Persuasive argumentation research focuses on understanding and modeling how language influences beliefs and actions, aiming to quantify and improve the effectiveness of persuasive communication. Current research employs large language models (LLMs) like GPT-4 and architectures incorporating techniques such as prompt tuning, multi-modal analysis (combining text and images), and reinforcement learning to analyze and generate persuasive text across various domains, including political discourse and e-commerce. This work has significant implications for understanding and mitigating the societal impact of AI-generated persuasive content, informing the development of responsible AI systems, and improving the design of persuasive communication in various fields.