User-created chatbots powered by generative AI offer new ways to share and interact with Not-Safe-For-Work (NSFW) content. However, little is known about the characteristics of these GenAI-based chatbots and their user interactions. Drawing on the functional theory of NSFW on social media, this study analyzes 376 NSFW chatbots and 307 public conversation sessions on FlowGPT. Findings identify four chatbot types: roleplay characters, story generators, image generators, and do-anything-now bots. AI Characters portraying fantasy personas and enabling hangout-style interactions are most common, often using explicit avatar images to invite engagement. Sexual, violent, and insulting content appears in both user prompts and chatbot outputs, with some chatbots generating explicit material even when users do not create erotic prompts. In sum, the NSFW experience on FlowGPT can be understood as a combination of virtual intimacy, sexual delusion, violent thought expression, and unsafe content acquisition. We conclude with implications for chatbot design, creator support, user safety, and content moderation.

翻译：基于生成式人工智能的用户创建聊天机器人为分享和互动非安全内容提供了新途径。然而，目前对这些基于生成式人工智能的聊天机器人特性及其用户交互行为知之甚少。本研究借鉴社交媒体非安全内容功能理论，对FlowGPT平台上的376个非安全内容聊天机器人和307个公开对话会话进行了分析。研究发现存在四种聊天机器人类型：角色扮演人物、故事生成器、图像生成器以及"无所不能"型机器人。其中，以幻想人设为特征并支持休闲式交互的AI角色最为普遍，这类机器人常使用露骨头像图片吸引用户参与。性暗示、暴力及侮辱性内容同时出现在用户输入提示词和聊天机器人输出中，部分聊天机器人在用户未输入色情提示词的情况下仍会生成露骨内容。总体而言，FlowGPT平台上的非安全内容体验可理解为虚拟亲密关系、性幻想、暴力思想表达以及不安全内容获取的结合体。最后，本研究讨论了该现象对聊天机器人设计、创作者支持、用户安全及内容审核的启示。