Social media bot detection with deep learning methods: a systematic review
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 …
humans at the backend. Some bots have good purposes, such as automatically posting …
Twibot-22: Towards graph-based twitter bot detection
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 …
facilitate social media moderation, and preserve the integrity of the online discourse. State-of …
Twibot-20: A comprehensive twitter bot detection benchmark
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 …
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 …
allow people to connect and interact with family and friends, post comments and images …
BotRGCN: Twitter bot detection with relational graph convolutional networks
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 …
fail to address the challenge of community and disguise, falling short of detecting bots that …
Heterogeneity-aware twitter bot detection with relational graph transformers
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 …
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
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 …
complaints about bot accounts have increased recently. Although extensive research efforts …
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-supervised GNN Architecture Search
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 …
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
Twitter bot detection has become a crucial task in efforts to combat online misinformation,
mitigate election interference, and curb malicious propaganda. However, advanced Twitter …
mitigate election interference, and curb malicious propaganda. However, advanced Twitter …
Botshape: A novel social bots detection approach via behavioral patterns
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 …
and relieve their harmful impacts (eg, misinformation, rumor, and spam) on genuine users …