Sina-weibo spammer detection with GBDT

Yang Qiao*, Huaping Zhang, Min Yu, Yu Zhang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

In China, Sina-Weibo, with its rising popularity as a microblogging website, has inevitably attracted the attention of spammers. Spammers use myriad of techniques to evade security mechanisms and post spam messages, which are either unwelcome advertisements for the victim or lure victims in to clicking malicious URLs embedded in spam tweets. With the extensive application of machine learning in social media mining and Sina-Weibo’s development, we get many new ideas for the spammers detection. In this paper, we first make a comprehensive analysis specifically aiming at some new Sina-Weibo features rather than other social media, we further design a new feature set to detect spammers. We grab a large amount of Sina-Weibo data on the Internet and train the classifier with the algorithm GBDT. Through our experiments, we show that our new designed features are much more effective than some existing detector. And GBDT also has been significantly improved in both the accuracy and the FP-rate.

源语言英语
主期刊名Social Media Processing - 5th National Conference, SMP 2016, Proceedings
编辑Hongfei Lin, Yuming Li, Guoxiong Xiang, Mingwen Wang
出版商Springer Verlag
220-232
页数13
ISBN(印刷版)9789811029929
DOI
出版状态已出版 - 2016
活动5th National Conference on Social Media Processing, SMP 2016 - Nanchang, 中国
期限: 29 10月 201630 10月 2016

出版系列

姓名Communications in Computer and Information Science
669
ISSN(印刷版)1865-0929

会议

会议5th National Conference on Social Media Processing, SMP 2016
国家/地区中国
Nanchang
时期29/10/1630/10/16

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引用此

Qiao, Y., Zhang, H., Yu, M., & Zhang, Y. (2016). Sina-weibo spammer detection with GBDT. 在 H. Lin, Y. Li, G. Xiang, & M. Wang (编辑), Social Media Processing - 5th National Conference, SMP 2016, Proceedings (页码 220-232). (Communications in Computer and Information Science; 卷 669). Springer Verlag. https://doi.org/10.1007/978-981-10-2993-6_19