Conversations around organizational risk and insider threat

Luke J. Osterritter, Kathleen M. Carley
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引用次数: 1

Abstract

Organizational risk and resilience as well as insider threat have been studied through the lenses of socio-psychological studies and information and computer sciences. As with all disciplines, it is an area in which practitioners, enthusiasts, and experts discuss the theory, issues, and solutions of the field in various online public forums. Such conversations, despite their public nature, can be difficult to understand and to study, even by those deeply involved in the communities themselves. Who are the key actors? How can we understand and characterize the culture around such communities, the problems they face, and the solutions favored by the experts in the field? Which narratives are being created and propagated, and by whom - and are these actors truly people, or are they autonomous agents, or "bots"? In this paper, we demonstrate the value in applying dynamic network analysis and social network analysis to gain situational awareness of the public conversation around insider threat, nation-state espionage, and industrial espionage. Characterizing public discourse around a topic can reveal individuals and organizations attempting to push or shape narratives in ways that might not be obvious to casual observation. Such techniques have been used to great effect in the study of elections, the COVID-19 pandemic, and the study of misinformation and disinformation, and we hope to show that their use in this area is a powerful way to build a foundation of understanding around the conversations in the online public forum, provide data and analysis for use in further research, and equip counter insider threat practitioners with new insights.
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围绕组织风险和内部威胁的对话
组织风险和弹性以及内部威胁已经通过社会心理学研究和信息与计算机科学的镜头进行了研究。与所有学科一样,它是一个实践者、爱好者和专家在各种在线公共论坛上讨论该领域的理论、问题和解决方案的领域。尽管这些对话具有公共性质,但很难理解和研究,即使是那些深入参与社区的人也是如此。谁是关键角色?我们如何理解和描述这些社区周围的文化,他们面临的问题,以及该领域专家青睐的解决方案?哪些故事是由谁创造和传播的,这些演员是真正的人,还是自主的代理人,或“机器人”?在本文中,我们展示了应用动态网络分析和社会网络分析来获得围绕内部威胁、民族国家间谍和工业间谍的公众对话的态势感知的价值。描述围绕一个话题的公共话语可以揭示个人和组织试图以不经意的观察可能不明显的方式推动或塑造叙事。这些技术在研究选举、COVID-19大流行以及研究错误信息和虚假信息方面发挥了巨大作用,我们希望表明,在这一领域使用它们是一种强有力的方式,可以围绕在线公共论坛中的对话建立理解基础,为进一步研究提供数据和分析,并为反内部威胁从业者提供新的见解。
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