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 …

[HTML][HTML] Fake news outbreak 2021: Can we stop the viral spread?

T Khan, A Michalas, A Akhunzada - Journal of Network and Computer …, 2021 - Elsevier
Social Networks' omnipresence and ease of use has revolutionized the generation and
distribution of information in today's world. However, easy access to information does not …

Detection of novel social bots by ensembles of specialized classifiers

M Sayyadiharikandeh, O Varol, KC Yang… - Proceedings of the 29th …, 2020 - dl.acm.org
Malicious actors create inauthentic social media accounts controlled in part by algorithms,
known as social bots, to disseminate misinformation and agitate online discussion. While …

Scalable and generalizable social bot detection through data selection

KC Yang, O Varol, PM Hui, F Menczer - Proceedings of the AAAI …, 2020 - ojs.aaai.org
Efficient and reliable social bot classification is crucial for detecting information manipulation
on social media. Despite rapid development, state-of-the-art bot detection models still face …

DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data

K Hayawi, S Mathew, N Venugopal, MM Masud… - Social Network Analysis …, 2022 - Springer
Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter
provide a space for expressing one's opinions in a public platform. This great potential is …

Machine learning-based social media bot detection: a comprehensive literature review

M Aljabri, R Zagrouba, A Shaahid, F Alnasser… - Social Network Analysis …, 2023 - Springer
In today's digitalized era, Online Social Networking platforms are growing to be a vital aspect
of each individual's daily life. The availability of the vast amount of information and their …

Network distribution and sentiment interaction: Information diffusion mechanisms between social bots and human users on social media

M Cai, H Luo, X Meng, Y Cui, W Wang - Information Processing & …, 2023 - Elsevier
When public health emergencies occur, a large amount of low-credibility information is
widely disseminated by social bots, and public sentiment is easily manipulated by social …

Algorithmic agents in the hybrid media system: Social bots, selective amplification, and partisan news about COVID-19

Z Duan, J Li, J Lukito, KC Yang, F Chen… - Human …, 2022 - academic.oup.com
Social bots, or algorithmic agents that amplify certain viewpoints and interact with selected
actors on social media, may influence online discussion, news attention, or even public …

Social media bot detection with deep learning methods: a systematic review

K Hayawi, S Saha, MM Masud, SS Mathew… - Neural Computing and …, 2023 - Springer
Social bots are automated social media accounts governed by software and controlled by
humans at the backend. Some bots have good purposes, such as automatically posting …

Fake profile detection on social networking websites: a comprehensive review

PK Roy, S Chahar - IEEE Transactions on Artificial Intelligence, 2020 - ieeexplore.ieee.org
This article aims to summarize the recent advancement in the fake account detection
methodology on social networking websites. Over the past decade, social networking …