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An essential topic in online social network security is how to accurately detect bot accounts and relieve their harmful impacts (e.g., misinformation, rumor, and spam) on genuine users.
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Bots and misinformation spread on social media: Implications for covid-19
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Spam detection on twitter using a support vector machine and users’ features by identifying their interactions
Saleh Beyt Sheikh Ahmad, Mahnaz Rafie, and Seyed Mojtaba Ghorabie · 2021
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Hrushikesh Shukla, Nakshatra Jagtap, and Balaji Patil · 2021
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Qinglang Guo, Haiyong Xie, Yangyang Li, Wen Ma, and Chao Zhang · 2021
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Deepsbd: a deep neural network model with attention mechanism for socialbot detection
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Scalable and generalizable social bot detection through data selection
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Tslearn, a machine learning toolkit for time series data
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Bert model for fake news detection based on social bot activities in the covid-19 pandemic
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Real-time twitter spam detection and sentiment analysis using machine learning and deep learning techniques
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Social bot-aware graph neural network for early rumor detection
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Online user profiling to detect social bots on twitter
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Heterogeneity-aware twitter bot detection with relational graph transformers
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