arXiv：cs.CL· Emilio Ferrara·· 4 小时前AI 评分27
ChatGPT 时代的社会机器人检测：挑战与机遇
Social bot detection in the age of ChatGPT: Challenges and opportunities
AI 导读
一篇综述梳理了 AI 聊天机器人兴起背景下社会机器人检测的挑战与机遇，指出该领域存在空白并给出四个研究方向：用生成式智能体合成数据做测试评估、基于网络与行为特征的跨平台多模态检测、将检测扩展到非英语及低资源语言场景，以及开发兼顾隐私的联邦学习协作检测模型。
正文
Abstract:We present a comprehensive overview of the challenges and opportunities in social bot detection in the context of the rise of sophisticated AI-based chatbots. By examining the state of the art in social bot detection techniques and the more salient real-world application to date, we identify gaps and emerging trends in the field, with a focus on addressing the unique challenges posed by AI-generated conversations and behaviors. We suggest potentially promising opportunities and research directions in social bot detection, including (i) the use of generative agents for synthetic data generation, testing and evaluation; (ii) the need for multimodal and cross-platform detection based on network and behavioral signatures of coordination and influence; (iii) the opportunity to extend bot detection to non-English and low-resource language settings; and, (iv) the room for development of collaborative, federated learning detection models that can help facilitate cooperation between different organizations and platforms while preserving user privacy.
| Subjects: | Computers and Society (cs.CY); Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.02386 [cs.CY] |
| (or arXiv:2610.02386v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2610.02386 arXiv-issued DOI via DataCite (pending registration) |
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| Journal reference: | First Monday, 28(6), 2023 |
| Related DOI: | https://doi.org/10.5210/fm.v28i6.13185
DOI(s) linking to related resources |
Submission history
From: Emilio Ferrara [view email]
[v1]
Thu, 1 Oct 2026 19:08:58 UTC (652 KB)
来源：arXiv：cs.CL · arxiv.org