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BotRGCN: Twitter bot detection with relational graph convolutional networks.

, , , and . ASONAM, page 236-239. ACM, (2021)

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What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection., , , , , and . ACL (1), page 3580-3601. Association for Computational Linguistics, (2024)BotPercent: Estimating Twitter Bot Populations from Groups to Crowds., , , , , , and . CoRR, (2023)BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency., , , , , , and . CoRR, (2022)How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis., , , , and . CoRR, (2024)TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark., , , , and . CIKM, page 4485-4494. ACM, (2021)BotRGCN: Twitter bot detection with relational graph convolutional networks., , , and . ASONAM, page 236-239. ACM, (2021)SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection., , , , and . CIKM, page 3808-3817. ACM, (2021)GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search., , , , , , and . CIKM, page 520-529. ACM, (2022)FNDPro: Evaluating the Importance of Propagations during Fake News Spread., , , , , and . DASFAA (6), volume 14855 of Lecture Notes in Computer Science, page 52-67. Springer, (2024)Disentangled Noisy Correspondence Learning., , , , , , , , and . CoRR, (2024)