[2505.07775] Must Read: A Comprehensive Survey of Computational Persuasion
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[2505.07775] Must Read: A Comprehensive Survey of Computational Persuasion

arXiv - AI 4 min read

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Abstract page for arXiv paper 2505.07775: Must Read: A Comprehensive Survey of Computational Persuasion

Computer Science > Computation and Language arXiv:2505.07775 (cs) [Submitted on 12 May 2025 (v1), last revised 23 Mar 2026 (this version, v2)] Title:Must Read: A Comprehensive Survey of Computational Persuasion Authors:Nimet Beyza Bozdag, Shuhaib Mehri, Xiaocheng Yang, Hyeonjeong Ha, Zirui Cheng, Esin Durmus, Jiaxuan You, Heng Ji, Gokhan Tur, Dilek Hakkani-Tür View a PDF of the paper titled Must Read: A Comprehensive Survey of Computational Persuasion, by Nimet Beyza Bozdag and 9 other authors View PDF HTML (experimental) Abstract:Persuasion is a fundamental aspect of communication, influencing decision-making across diverse contexts, from everyday conversations to high-stakes scenarios such as politics, marketing, and law. The rise of conversational AI systems has significantly expanded the scope of persuasion, introducing both opportunities and risks. AI-driven persuasion can be leveraged for beneficial applications, but also poses threats through unethical influence. Moreover, AI systems are not only persuaders, but also susceptible to persuasion, making them vulnerable to adversarial attacks and bias reinforcement. Despite rapid advancements in AI-generated persuasive content, our understanding of what makes persuasion effective remains limited due to its inherently subjective and context-dependent nature. In this survey, we provide a comprehensive overview of persuasion, structured around three key perspectives: (1) AI as a Persuader, which explores AI-generated persu...

Originally published on March 24, 2026. Curated by AI News.

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