Real-time Chatbot Romance Scam Detection in Stage Classification

A paper submitted to arXiv on 30 September 2026 by Lyn Chao-Ling Chen presents a chatbot that detects romance scams in real time through the Line Messaging API, classifying conversations into stages using seven social-science stage theories and a large language model. When a scam is detected, the chatbot uses the large language model to explain the identified stage and provide prevention advice. The authors describe the work as a practical application intended for real-world use in reducing romance scam risk.

Computer Science Computation and Language Submitted on 30 Sep 2026 Title:Real-time Chatbot Romance Scam Detection in Stage Classification View PDF https://arxiv.org/pdf/2610.20631 Abstract:Romance scam has become a serious problem via social media, and the improvement of artificial intelligence enable to fake identify easily. In the study, a chatbot has developed to detect romance scam in real-time through Line Messaging API. Using the seven stage theories in the social science field, the stages of romance scam can be detected through large language model. In addition, once a romance scam is detected, the chatbot provides explanations of the stage and prevention advices through large language model. The contribution of the work provides a practical application, and can be used in real scenario for reducing the risk of romance scam. Submission history From: Lyn Chao-Ling Chen view email https://arxiv.org/show-email/32c3cafc/2610.20631 v1 Wed, 30 Sep 2026 04:19:18 UTC 1,596 KB Additional Features Current browse context: cs.CL References & Citations Loading... Bibliographic and Citation Tools Bibliographic Explorer What is the Explorer? https://info.arxiv.org/labs/showcase.html arxiv-bibliographic-explorer Connected Papers What is Connected Papers? https://www.connectedpapers.com/about Litmaps What is Litmaps? https://www.litmaps.co/ scite Smart Citations What are Smart Citations? https://www.scite.ai/ Code, Data and Media Associated with this Article alphaXiv What is alphaXiv? https://alphaxiv.org/ CatalyzeX Code Finder for Papers What is CatalyzeX? https://www.catalyzex.com DagsHub What is DagsHub? https://dagshub.com/ Gotit.pub What is GotitPub? http://gotit.pub/faq Hugging Face What is Huggingface? https://huggingface.co/huggingface ScienceCast What is ScienceCast? https://sciencecast.org/welcome Demos Recommenders and Search Tools Influence Flower What are Influence Flowers? https://influencemap.cmlab.dev/ CORE Recommender What is CORE? https://core.ac.uk/services/recommender arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs https://info.arxiv.org/labs/index.html .