{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T17:07:30Z","timestamp":1778864850816,"version":"3.51.4"},"reference-count":174,"publisher":"Association for Computing Machinery (ACM)","issue":"12","license":[{"start":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T00:00:00Z","timestamp":1778803200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Comput. Surv."],"published-print":{"date-parts":[[2026,9,30]]},"abstract":"<jats:p>\n                    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 Artificial Intelligence (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:\n                    <jats:bold>(1) AI as a Persuader<\/jats:bold>\n                    , which explores AI-generated persuasive content and its applications;\n                    <jats:bold>(2) AI as a Persuadee<\/jats:bold>\n                    , which examines AI\u2019s susceptibility to influence and manipulation; and\n                    <jats:bold>(3) AI as a Persuasion Judge<\/jats:bold>\n                    , which analyzes AI\u2019s role in evaluating persuasive strategies, detecting manipulation, and ensuring ethical persuasion. We introduce a taxonomy for persuasion research and discuss key challenges for future research to enhance the safety, fairness, and effectiveness of AI-powered persuasion while addressing the risks posed by increasingly capable language models.\n                  <\/jats:p>","DOI":"10.1145\/3800687","type":"journal-article","created":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T20:56:37Z","timestamp":1773953797000},"page":"1-39","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Must Read: A Comprehensive Survey of Computational Persuasion"],"prefix":"10.1145","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8078-3562","authenticated-orcid":false,"given":"Nimet Beyza","family":"Bozdag","sequence":"first","affiliation":[{"name":"Computer Science, University of Illinois Urbana-Champaign","place":["Urbana, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1330-3515","authenticated-orcid":false,"given":"Shuhaib","family":"Mehri","sequence":"additional","affiliation":[{"name":"Computer Science, University of Illinois Urbana-Champaign","place":["Urbana, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3084-3057","authenticated-orcid":false,"given":"Xiaocheng","family":"Yang","sequence":"additional","affiliation":[{"name":"Computer Science, University of Illinois Urbana-Champaign","place":["Urbana, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3089-3120","authenticated-orcid":false,"given":"Hyeonjeong","family":"Ha","sequence":"additional","affiliation":[{"name":"Computer Science, University of Illinois Urbana-Champaign","place":["Urbana, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0244-8916","authenticated-orcid":false,"given":"Zirui","family":"Cheng","sequence":"additional","affiliation":[{"name":"Computer Science, University of Illinois Urbana-Champaign","place":["Urbana, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0601-1945","authenticated-orcid":false,"given":"Esin","family":"Durmus","sequence":"additional","affiliation":[{"name":"Anthropic","place":["San Francisco, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1812-7598","authenticated-orcid":false,"given":"Jiaxuan","family":"You","sequence":"additional","affiliation":[{"name":"Computer Science, University of Illinois Urbana-Champaign","place":["Urbana, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0464-7966","authenticated-orcid":false,"given":"Heng","family":"Ji","sequence":"additional","affiliation":[{"name":"Computer Science, University of Illinois at Urbana-Champaign","place":["Urbana, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7740-2557","authenticated-orcid":false,"given":"Gokhan","family":"Tur","sequence":"additional","affiliation":[{"name":"Computer Science, University of Illinois Urbana-Champaign","place":["Urbana, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5246-2117","authenticated-orcid":false,"given":"Dilek","family":"Hakkani-T\u00fcr","sequence":"additional","affiliation":[{"name":"Computer Science, University of Illinois Urbana-Champaign","place":["Urbana, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,5,15]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v13i01.3205"},{"key":"e_1_3_2_3_2","volume-title":"Proceedings of the 38th Annual Conference on Neural Information Processing Systems","author":"Anil Cem","year":"2024","unstructured":"Cem Anil, Esin Durmus, Nina Rimsky, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Meg Tong, Jesse Mu, Daniel J. 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