Weijian Fan1,*, Chunhua Wang2, Xiao Han3, Chichen Lin4
CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 467-483, 2025, DOI:10.32604/cmc.2024.056930
- 03 January 2025
Abstract The proliferation of robot accounts on social media platforms has posed a significant negative impact, necessitating robust measures to counter network anomalies and safeguard content integrity. Social robot detection has emerged as a pivotal yet intricate task, aimed at mitigating the dissemination of misleading information. While graph-based approaches have attained remarkable performance in this realm, they grapple with a fundamental limitation: the homogeneity assumption in graph convolution allows social robots to stealthily evade detection by mingling with genuine human profiles. To unravel this challenge and thwart the camouflage tactics, this work proposed an innovative social… More >
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