Detection of bots in social media: a systematic review

M Orabi, D Mouheb, Z Al Aghbari, I Kamel - Information Processing & …, 2020 - Elsevier
Social media bots (automated accounts) attacks are organized crimes that pose potential
threats to public opinion, democracy, public health, stock market and other disciplines. While …

Analyzing machine learning enabled fake news detection techniques for diversified datasets

S Mishra, P Shukla, R Agarwal - Wireless Communications and …, 2022 - Wiley Online Library
Fake news, or fabric which appeared to be untrue with point of deceiving the open, has
developed in ubiquity in current a long time. Spreading this kind of data undermines societal …

Do social bots dream of electric sheep? A categorisation of social media bot accounts

S Stieglitz, F Brachten, B Ross, AK Jung - arXiv preprint arXiv:1710.04044, 2017 - arxiv.org
So-called'social bots' have garnered a lot of attention lately. Previous research showed that
they attempted to influence political events such as the Brexit referendum and the US …

A novel framework for detecting social bots with deep neural networks and active learning

Y Wu, Y Fang, S Shang, J Jin, L Wei, H Wang - Knowledge-Based Systems, 2021 - Elsevier
Microblogging is a popular online social network (OSN), which facilitates users to obtain and
share news and information. Nevertheless, it is filled with a huge number of social bots that …

Fake profile detection techniques in large-scale online social networks: A comprehensive review

D Ramalingam, V Chinnaiah - Computers & Electrical Engineering, 2018 - Elsevier
In the present era, online social networks are the most popular and rapid information
propagation applications on the Internet. People of all ages spend most of their time on …

Privacy and security in online social networks: A survey

I Kayes, A Iamnitchi - Online Social Networks and Media, 2017 - Elsevier
Online social networks (OSN) are a permanent presence in today's personal and
professional lives of a huge segment of the population, with direct consequences to offline …

Detecting fake accounts on social media

S Khaled, N El-Tazi… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
In the present generation, on-Line social networks (OSNs) have become increasingly
popular, people's social lives have become more associated with these sites. They use on …

Identifying fake accounts on social networks based on graph analysis and classification algorithms

M Mohammadrezaei, ME Shiri… - Security and …, 2018 - Wiley Online Library
Social networks have become popular due to the ability to connect people around the world
and share videos, photos, and communications. One of the security challenges in these …

An enhanced graph-based semi-supervised learning algorithm to detect fake users on Twitter

M Balaanand, N Karthikeyan, S Karthik… - The Journal of …, 2019 - Springer
Over the the past decade, social networking services (SNS) have proliferated on the web.
The nature of such sites makes identity deception easy, providing a fast means for creating …

Machine Learning‐Based Secure Data Acquisition for Fake Accounts Detection in Future Mobile Communication Networks

B Prabhu Kavin, S Karki, S Hemalatha… - Wireless …, 2022 - Wiley Online Library
Social media websites are becoming more prevalent on the Internet. Sites, such as Twitter,
Facebook, and Instagram, spend significantly more of their time on users online. People in …