Detecting Spam in Twitter Microblogging Services: A Novel Machine Learning Approach based on Domain Popularity-Reference-Cited by-同舟云学术

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Detecting Spam in Twitter Microblogging Services: A Novel Machine Learning Approach based on Domain Popularity

Published:2020 Issue:11 Volume:11 Page:
ISSN:2156-5570
Container-title:International Journal of Advanced Computer Science and Applications
language:en
Short-container-title:IJACSA

Author:

Binsaeed Khalid,Stringhini Gianluca,E. Ahmed

Publisher

The Science and Information Organization

Subject

General Computer Science

Link

http://thesai.org/Downloads/Volume11No11/Paper_3-Detecting_Spam_in_Twitter_Microblogging_Services.pdf

Cited by 6 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. Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning;Digital Threats: Research and Practice;2023-12-20

2. A hybrid framework for bot detection on twitter: Fusing digital DNA with BERT;Multimedia Tools and Applications;2023-03-01

3. SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning;Proceedings of the 38th Annual Computer Security Applications Conference;2022-12-05

4. Digital natives: internal defence mechanism to distrust tourism advertisements;Current Issues in Tourism;2022-07-08

5. Investigating the Experience of Social Engineering Victims: Exploratory and User Testing Study;Electronics;2021-11-06

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