Fake Twitter Followers Detection using Machine Learning Approach-Reference-Cited by-同舟云学术

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Fake Twitter Followers Detection using Machine Learning Approach

Published:2023-03-07 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Business Analytics for Technology and Security (ICBATS)
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Author:

Zeshan Shabbir Muhammad¹,Naseer Iftikhar²,Akhter Shamim³,Abubakar Muhammad⁴,Issa Ghassan F.⁵,Hassaan Mehmood Muhammad⁶

Affiliation:

1. Comsats University,Faculty of Information and Technology,Islamabad,Pakistan

2. The Superior University,Faculty of Computer Science & Information Technology,Lahore,Pakistan

3. Minhaj University,School of Library & Information Sciences,Lahore,Pakistan

4. Fast School of Computing National University of Computer and Emerging Sciences,Lahore,Pakistan

5. Skyline University College, University City Sharjah,School of Information Technology,Sharjah,UAE,1797

6. NCBA&E,School of Computer Science,Lahore,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10111090/10111095/10111260.pdf?arnumber=10111260

Reference38 articles.

1. Detection of fake Twitter followers using decision tree algorithms;alshammari;Journal of King Saud University-Computer and Information Sciences,2020

2. Performance Analysis of State-of-the-Art CNN Architectures for LUNA16

3. Detection of fake Twitter followers using deep neural network;tan;Journal of Ambient Intelligence and Humanized Computing,2020

4. Identifying fake followers on Twitter using hybrid data mining and machine learning techniques;alam;2019 International Conference on Electrical Computer and Communication Engineering (ECCE),0

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