An Empirical Validation of Malicious Insider Characteristics

Liang, Nan; Biros, David P.; Luse, Andy

doi:10.1080/07421222.2016.1205925

Cited by 36 publications

(15 citation statements)

References 66 publications

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“…The second tactic calls for an identification through an antithesis approach, whereby the fear appeal urges employees to unite against a common enemy or threat. For example, an organization may release commentary containing passages that highlight threats from “outsiders” such as a “malicious” hacker (Liang, Biros, & Luse, ). A third tactic involves invoking a common ground between the individual and the organization by using a language of commonality.…”

Section: A Persuasive Rhetorical Strategy For Effective Fear Appeal Dmentioning

confidence: 99%

Speak their Language: Designing Effective Messages to Improve Employees’ Information Security Decision Making

et al. 2018

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Employee disinterest in information security remains one of the greatest impediments to effective information security management programs. How can organizations enhance the persuasiveness of the information security messages used to warn employees of threats and encourage employees to take specific actions to improve their security? We use fear appeal theory and the elaboration likelihood model to argue that security messages presented using more personally relevant language are more likely to induce employees to engage in the recommended protective security behaviors. Our strategy uses organization identification theory to segment employees into two groups and then develops security messages that use language aligned with each of the two segments. We tested this strategy within a large U.S. organization, and found that employees were more likely to consider and act upon messages that used language aligned with their organizational identification than messages using language not aligned. The effect size was large. Our results show that subtly changing less than a dozen words in the way a security message was presented without changing its substantive content (e.g., using “our” instead of “your”) has both significant and meaningful effects on how employees think about and respond to it.

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Section: A Persuasive Rhetorical Strategy For Effective Fear Appeal Dmentioning

confidence: 99%

Speak their Language: Designing Effective Messages to Improve Employees’ Information Security Decision Making

et al. 2018

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“…First, although the intentions of the perpetrators (i.e., betrayers) cannot be predicted because they vary greatly, they tend to provide communication cues of their intent (Ho, Hancock, & Booth, ). Second, insider betrayal tends to represent socio‐psychological behavioral problems that are fundamentally difficult to detect in advance (Liang, Biros, & Luse, ). The ability to obtain measures of a person's baseline behavior is important in efforts to predict future malfeasance (Debar et al, ).…”

Section: Inquiry Into Insider Threat Researchmentioning

confidence: 99%

Trustworthiness attribution: Inquiry into insider threat detection

Kaarst-Brown

Benbasat

2017

Asso for Info Science & Tech

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Insider threat is a “wicked” contemporary organizational problem. It poses significant threats to organizational operations and information security. This article reviews insider threat research and outlines key propositions to conceptualize the interpretation of dynamic human information behavior in an organizational setting, which represent an integration of trustworthiness and human sensors’ attribution in close relationships. These propositions posit that when a focal individual violates integrity‐based trust, the group can collectively attribute a shift in trustworthiness, triggering a natural peer attribution process that assigns cause to observed behavior. Group communication can thus reflect subtle changes in a focal individual's perceived trustworthiness. The ability to understand group‐based computer‐mediated communication patterns over time may become essential in safeguarding information assets and the “digital well‐being” of today's organizations. This article contributes a novel theoretical lens to examine dynamic insights on insider threat detection.

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“…With the rise of Twitter as one of the most archetypal social media platforms for user-generated content, researchers in IS and beyond have since relied on Twitter sentiments for inferring user beliefs and perception [36]. These studies have ranged from the use of microblogs on unidirectional platforms such as Twitter which leads to asymmetrical connections [55] to bidirectional platforms such as Facebook [54].…”

Section: Sentimentmentioning

confidence: 99%

Effects of Sentiments on the Morphing of Falsehoods and Correction Messages on Social Media

King¹,

Wang

Escobari

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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The burgeoning literature on fake news reveals that the emotional context of the message is a major factor that drives its diffusion on social media. However, studies have largely missed a major aspect of the diffusion process, which is the morphing of the textual contents themselves during this process. Our study first visually illustrates through hazard functions that, while falsehoods morphs aggressively at the initial stages, correction messages morph more aggressively in the long run. In addition, we leverage on cosine distance and econometric modeling to empirically investigate how sentiment affects the morphing of fake news and their correction messages. We find that positive sentiments, emotionally charged messages and correction messages positively affect the morphing of messages during the diffusion process. Our results also show that, as time goes by, the impacts of sentiments on morphing change.

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An Empirical Validation of Malicious Insider Characteristics

Cited by 36 publications

References 66 publications

Speak their Language: Designing Effective Messages to Improve Employees’ Information Security Decision Making

Speak their Language: Designing Effective Messages to Improve Employees’ Information Security Decision Making

Trustworthiness attribution: Inquiry into insider threat detection

Effects of Sentiments on the Morphing of Falsehoods and Correction Messages on Social Media

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