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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2411.06837/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2411.06837/feed.xml" rel="self" type="application/rss+xml" /><item><title>Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications — mentioned by keeda</title><link>https://news.ycombinator.com/item?id=49793270</link><guid isPermaLink="false">urn:hackerpapers:mention:2411.06837:49793270</guid><pubDate>Mon, 21 Sep 2026 20:55:00 GMT</pubDate><description>&lt;p&gt;Haha, sure! Some of the studies I read about, though admittedly I haven&amp;#x27;t read most of them in depth: https://www.fbk.eu/en/press-releases/artificial-intelligence... https://www.nature.com/articles/s41467-025-61345-5 https://arxiv.org/abs/2505.09662 https://arxiv.org/html/2411.06837v2 https://arxiv.org/html/2604.22109v2&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2411.06837/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications — mentioned by ben_w</title><link>https://news.ycombinator.com/item?id=49461522</link><guid isPermaLink="false">urn:hackerpapers:mention:2411.06837:49461522</guid><pubDate>Thu, 27 Aug 2026 08:16:56 GMT</pubDate><description>&lt;p&gt;They don&amp;#x27;t need to be omnipotent, and they&amp;#x27;re already human-or-superhuman at persuasion: https://arxiv.org/html/2411.06837v2 This may just be that humans find long arguments more persuasive than short ones, obviously LLMs can do that easily, but the outcome is I think more important than the mechanism.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2411.06837/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
