Results 51 to 60 of about 14,489,921 (146)
BotCHF: camouflage-heterogeneity-aware fusion for social bot detection
Journal of King Saud University: Computer and Information SciencesSocial bot detection is crucial for maintaining the security and integrity of online social networks (OSNs). Although graph-based methods have achieved state-of-the-art performance, rapid advances in large language models have made bots increasingly ...
Xiaoyu Wang +7 more
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BotSCG: Twitter Bot Detection With Semantic Consistency and Dual-Modulated Graph Learning
IEEE AccessTwitter bot detection has emerged as a critical yet challenging task for preventing public opinion manipulation and ensuring the authenticity of online interactions.
Chunling Wu +3 more
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Advanced Bot Response Mechanism based on DNS Sinkhole
, 2011 Malicious attacks in cyberspace have been continuously increasing. In particular, widely distributed bots are leading the cyber attacks such as distribute denial of service attack, spamming, critical information hijacking.
박학수, 최상수, 최장원
core
Social bot detection in the age of ChatGPT: Challenges and opportunities
, 2023 We present a comprehensive overview of the challenges and opportunities in social bot detection in the context of the rise of sophisticated AI-based chatbots.
Ferrara, Emilio
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Comparison of social bot detection techniques
, 2019 Online Social Networks act as a major platform for communication. The origin of social bots is one of the consequences of increasing popularity and utilization of social networks by people.
Vallabhaneni, Bhagyasri
core
Entendre, a Social Bot Detection Tool for Niche, Fringe, and Extreme Social Media [PDF]
Social bots-automated accounts that generate and spread content on social media-are exploiting vulnerabilities in these platforms to manipulate public perception and disseminate disinformation.
Kolluri, Akaash +4 more
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A graph neural architecture search approach for identifying bots in social media
Frontiers in Artificial IntelligenceSocial media platforms, including X, Facebook, and Instagram, host millions of daily users, giving rise to bots automated programs disseminating misinformation and ideologies with tangible real-world consequences.
Georgios Tzoumanekas +5 more
doaj +1 more source
Scalable and Generalizable Social Bot Detection through Data Selection
, 2020 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 generalization and scalability challenges, which greatly limit
Yang, Kai-Cheng +3 more
core +1 more source
GANBOT: a GAN-based framework for social bot detection. [PDF]
Soc Netw Anal Min, 2022 Najari S, Salehi M, Farahbakhsh R.
europepmc +1 more source
DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data. [PDF]
Soc Netw Anal Min, 2022 Hayawi K +4 more
europepmc +1 more source