A deep learning model for Twitter spam detection

Author:

Alom Zulfikar,Carminati Barbara,Ferrari Elena

Funder

CONCORDIA

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Communication,Information Systems

Reference39 articles.

1. Empirical evaluation and new design for fighting evolving twitter spammers;Yang;IEEE Trans. Inf. Forensics Secur.,2013

2. A hybrid approach for detecting automated spammers in twitter;Fazil;IEEE Trans. Inf. Forensics Secur.,2018

3. Twitter Usage Statistics - Internet Live Stats (2019), accessed on 20 April 2019. [Online]. Available: http://www.internetlivestats.com/twitter-statistics/.

4. Detecting spammers on twitter;Benevenuto,2010

5. @ spam: the underground on 140 characters or less;Grier,2010

Cited by 64 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Lie detection algorithms disrupt the social dynamics of accusation behavior;iScience;2024-07

2. Spam Detection in Arabic Tweets Using Artificial Intelligence Techniques;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28

3. Beyond Word-Based Model Embeddings: Contextualized Representations for Enhanced Social Media Spam Detection;Applied Sciences;2024-03-07

4. A Survey On Twitter Spam Drift Detection using Machine Learning;2024 International Conference on Social and Sustainable Innovations in Technology and Engineering (SASI-ITE);2024-02-23

5. Machine Learning Techniques for Twitter Spam Detection: Comparative Insights and Real-Time Application;2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2024-01-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3