[HTML][HTML] Systematic literature review of social media bots detection systems
Z Ellaky, F Benabbou, S Ouahabi - … of King Saud University-Computer and …, 2023 - Elsevier
Online social networks (OSNs) are vital to people's daily lives. They offer free services that
allow people to connect and interact with family and friends, post comments and images …
allow people to connect and interact with family and friends, post comments and images …
A survey on detecting spam accounts on Twitter network
Social networks have become an inseparable part of our lives today. Services such as
Facebook, Twitter, Instagram, Google+ and LinkedIn in particular have had a significant …
Facebook, Twitter, Instagram, Google+ and LinkedIn in particular have had a significant …
An ensemble deep learning model for fast classification of Twitter spam
S Dhar, I Bose - Information & Management, 2024 - Elsevier
Twitter spam needs to be detected and arrested quickly. The paper examines methods for
classification of spam in terms of determination of important features, comparative …
classification of spam in terms of determination of important features, comparative …
A hybrid spam detection framework for social networks
The widespread use of social networks has caused these platforms to become the target of
malicious people. Although social networks have their own spam detection systems, these …
malicious people. Although social networks have their own spam detection systems, these …
[HTML][HTML] Political Social Media Bot Detection: Unveiling Cutting-edge Feature Selection and Engineering Strategies in Machine Learning Model Development
Z Ellaky, F Benabbou - Scientific African, 2024 - Elsevier
Over time, social media bots (SMBs), specifically political SMBs, have played a crucial role
in influencing and spreading misinformation, manipulating public opinion, and harassing …
in influencing and spreading misinformation, manipulating public opinion, and harassing …
Artificial Intelligence in politics
T Marwala - Artificial Intelligence, Game Theory and Mechanism …, 2023 - Springer
Artificial intelligence (AI) has recently emerged as a potent force for change, touching every
business and every aspect of modern life. AI's immense powers are drastically transforming …
business and every aspect of modern life. AI's immense powers are drastically transforming …
A survey of spam bots detection in online social networks
Z Ellaky, F Benabbou, S Ouahabi… - … Conference on Digital …, 2021 - ieeexplore.ieee.org
Online Social networks (OSN) have become an integral part of people's lives. People from
all over the world interact instantly between each other by sharing pictures and content …
all over the world interact instantly between each other by sharing pictures and content …
Application of interval type-2 fuzzy logic and type-1 fuzzy logic-based approaches to social networks for spam detection with combined feature capabilities
Background Social networks are large platforms that allow their users to interact with each
other on the Internet. Today, the widespread use of social networks has made them …
other on the Internet. Today, the widespread use of social networks has made them …
Novel detection of accurate spam content using logistic regression algorithm compared with Gaussian algorithm
KV Bhavitha, SJJ Thangaraj - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Aim: To detect the spam content over the internet and social media using Logistic
Regression algorithm over Gaussian algorithm. Methods and Materials: Detection of spam …
Regression algorithm over Gaussian algorithm. Methods and Materials: Detection of spam …