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 …

Twibot-22: Towards graph-based twitter bot detection

S Feng, Z Tan, H Wan, N Wang… - Advances in …, 2022 - proceedings.neurips.cc
Twitter bot detection has become an increasingly important task to combat misinformation,
facilitate social media moderation, and preserve the integrity of the online discourse. State-of …

Twibot-20: A comprehensive twitter bot detection benchmark

S Feng, H Wan, N Wang, J Li, M Luo - Proceedings of the 30th ACM …, 2021 - dl.acm.org
Twitter has become a vital social media platform while an ample amount of malicious Twitter
bots exist and induce undesirable social effects. Successful Twitter bot detection proposals …

[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 …

BotRGCN: Twitter bot detection with relational graph convolutional networks

S Feng, H Wan, N Wang, M Luo - Proceedings of the 2021 IEEE/ACM …, 2021 - dl.acm.org
Twitter bot detection is an important and challenging task. Existing bot detection measures
fail to address the challenge of community and disguise, falling short of detecting bots that …

Heterogeneity-aware twitter bot detection with relational graph transformers

S Feng, Z Tan, R Li, M Luo - Proceedings of the AAAI Conference on …, 2022 - ojs.aaai.org
Twitter bot detection has become an important and challenging task to combat
misinformation and protect the integrity of the online discourse. State-of-the-art approaches …

Satar: A self-supervised approach to twitter account representation learning and its application in bot detection

S Feng, H Wan, N Wang, J Li, M Luo - Proceedings of the 30th ACM …, 2021 - dl.acm.org
Twitter has become a major social media platform since its launching in 2006, while
complaints about bot accounts have increased recently. Although extensive research efforts …

RoSGAS: Adaptive Social Bot Detection with Reinforced Self-supervised GNN Architecture Search

Y Yang, R Yang, Y Li, K Cui, Z Yang, Y Wang… - ACM Transactions on …, 2023 - dl.acm.org
Social bots are referred to as the automated accounts on social networks that make attempts
to behave like humans. While Graph Neural Networks (GNNs) have been massively applied …

Botmoe: Twitter bot detection with community-aware mixtures of modal-specific experts

Y Liu, Z Tan, H Wang, S Feng, Q Zheng… - Proceedings of the 46th …, 2023 - dl.acm.org
Twitter bot detection has become a crucial task in efforts to combat online misinformation,
mitigate election interference, and curb malicious propaganda. However, advanced Twitter …

Botshape: A novel social bots detection approach via behavioral patterns

J Wu, X Ye, C Mou - arXiv preprint arXiv:2303.10214, 2023 - arxiv.org
An essential topic in online social network security is how to accurately detect bot accounts
and relieve their harmful impacts (eg, misinformation, rumor, and spam) on genuine users …