WebAcademic studies estimate that up to 15% of Twitter users are automated bot accounts [1]. The prevalence of Twitter bots coupled with the ability of some bots to give seemingly human responses has enabled these non-human accounts to garner widespread influence. Hence, detecting non-human Twitter users or automated bot accounts using machine … WebOct 26, 2024 · TwiBot-20 (Feng et al. 2024c) is a comprehensive Twitter bot detection benchmark and the only publicly available bot detection dataset to provide user follow …
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark
WebJun 24, 2024 · 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 disguise as genuine users and attack collectively. To address these two challenges of Twitter bot detection, we propose BotRGCN, which is short for Bot detection … WebJun 6, 2024 · TL;DR: We make the case for graph-based Twitter bot detection and propose a graph-based benchmark TwiBot-22, which addresses the issues of limited dataset scale, incomplete graph structure, and low annotation quality in previous datasets. Abstract: Twitter bot detection has become an increasingly important task to combat … aio trivia
LuoUndergradXJTU/TwiBot-22: Offical repository of TwiBot-22. - GitHub
WebJun 9, 2024 · Twitter bot detection has become an increasingly important task to combat misinformation, facilitate social media moderation, and preserve the integrity of the online … WebIn this paper, we propose TwiBot-22, a comprehensive graph-based Twitter bot detection benchmark that presents the largest dataset to date, provides diversified entities and relations on the Twitter network, and has considerably better annotation quality than existing datasets. In addition, we re-implement 35 representative Twitter bot ... WebTwiBot-22: Towards Graph-Based Twitter Bot Detection Leading authors: Shangbin Feng*, Zhaoxuan Tan*, Herun Wan*, Ningnan Wang*, Zilong Chen*, Binchi Zhang* aiou new notification