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A Computational Framework for Detecting Malicious Actors in Communities

机译:一个用于检测社区中恶意行为者的计算框架

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Despite the significant research achievements on the study of communities, how to maintain a benign social environment for a community, as a problem, has not received much attention. Current existing malicious activity detecting mechanisms are subject to the limitation of the underlying online environment. However, we found that information plays an important role in terms of socialization. Malicious activities, like diffusing unreliable information and providing inappropriate critics, can severely impact the situation of a community's social environment. In this paper, we propose a computational framework for detecting malicious actors in communities from the perspective information diffusion. We use the term, "malicious actors", to represent a group of people who intentionally or unintentionally conduct malicious behaviors to sabotage benign social environments of communities.
机译:尽管在社区研究方面取得了重要的研究成就,但如何解决社区的良性社会环境这一问题并没有引起人们的广泛关注。当前现有的恶意活动检测机制受基础在线环境的限制。但是,我们发现信息在社会化方面起着重要作用。诸如散布不可靠信息和提供不适当批评者之类的恶意活动会严重影响社区的社会环境。在本文中,我们提出了一种从信息传播的角度检测社区中恶意行为者的计算框架。我们使用“恶意行为者”一词来表示一群有意或无意地进行恶意行为以破坏社区良性社会环境的人。

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