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 …

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 …

Unsupervised social bot detection via structural information theory

H Peng, J Zhang, X Huang, Z Hao, A Li, Z Yu… - ACM Transactions on …, 2024 - dl.acm.org
Research on social bot detection plays a crucial role in maintaining the order and reliability
of information dissemination while increasing trust in social interactions. The current …

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 …

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 …

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 …

Arming the public with artificial intelligence to counter social bots

KC Yang, O Varol, CA Davis, E Ferrara… - Human Behavior …, 2019 - Wiley Online Library
The increased relevance of social media in our daily life has been accompanied by efforts to
manipulate online conversations and opinions. Deceptive social bots—automated or semi …

The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race

S Cresci, R Di Pietro, M Petrocchi… - Proceedings of the 26th …, 2017 - dl.acm.org
Recent studies in social media spam and automation provide anecdotal argumentation of
the rise of a new generation of spambots, so-called social spambots. Here, for the first time …

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 …

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 …