[5/5] Persuasion research is still playing catch-up, promising great advancements!✨ Thank you to my amazing co-authors! @shuhaib.bsky.social @xiaocheng-yang.bsky.social @HyeonjeongHa @ziruicheng.bsky.social @EsinDurmus @JiaxuanYou @HengJi @gokhantur.bsky.social @dilekh.bsky.social

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[4/5] We'll also be maintaining a GitHub repository for computational persuasion research. Datasets, code, and resources will be included! Contributions and collaborations are warmly welcomed! 🚀 Check it out: github.com/beyzabozdag/...

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[3/5] We introduce a taxonomy for computational persuasion research, highlight critical challenges, and map out future directions for safe, fair, and effective persuasive AI systems.

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[2/5] We structure computational persuasion around three key perspectives: 🤖 AI as Persuader: Generating persuasive content. 🎯 AI as Persuadee: Vulnerability to persuasive influence. ⚖️ AI as Persuasion Judge: Detecting persuasive tactics and ethical concerns.

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Thrilled to announce our new survey that explores the exciting possibilities and troubling risks of computational persuasion in the era of LLMs 🤖💬 📄Arxiv: arxiv.org/pdf/2505.07775 💻 GitHub: github.com/beyzabozdag/...

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