Information control in conversations: Honesty is not always the best policy

Turner, Ronny E.; Edgley, Charles; Olmstead, Glen

doi:10.17161/str.1808.6098

Cited by 91 publications

(115 citation statements)

References 4 publications

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“…For instance, DePaulo et al (1996) claim that people tell an average of one or two lies daily. Turner et al (1975) found that people lie in about two-thirds of their conversations. In addition, people perceive lies when none actually have occurred (Elaad, 2003).…”

Section: Introductionmentioning

confidence: 99%

Perceptions of Deception: Making Sense of Responses to Employee Deceit

Jehn

Scott

2007

J Bus Ethics

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ABSTRACT. In this research, we examine the effects that customer perceptions of employee deception have on the customersÕ attitudes toward an organization. Based on interview, archival, and observational data within the international airline industry, we develop a model to explain the complex effects of perceived dishonesty on observerÕs attitudes and intentions toward the airline. The data revealed three types of perceived deceit (about beliefs, intentions, and emotions) and three additional factors that influence customer intentions and attitudes: the players involved, the beneficiaries of the deceit, and the harm done by the perceived lie. We develop a model with specific propositions to guide organizations with respect to apparently deceitful behavior of their employees. Implications and directions for future research are provided, focusing on the question of whether organizations should consistently encourage honesty or train their employees to be effective liars.

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Section: Introductionmentioning

confidence: 99%

Perceptions of Deception: Making Sense of Responses to Employee Deceit

Jehn

Scott

2007

J Bus Ethics

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“…There are various forms of deceptions. While Turner et al (1975) categorize deception into lies, exaggerations, half-truths, secrets, and diversionary responses, Utz (2005) takes another approach in computer-mediated communication and categorizes deception into category deception (gender switching), attractiveness deception, or identity concealment. Since true identity of social media users may not be known, it is possible that innocent people may be deceived or abused through misbehavior of deceptive users.…”

Section: Fake Identity and Messaging Schemementioning

confidence: 99%

A Survey of Social Network Forensics

Karabiyik¹,

Canbaz²,

Aksoy³

et al. 2016

JDFSL

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Social networks in any form, specifically online social networks (OSNs), are becoming a part of our everyday life in this new millennium especially with the advanced and simple communication technologies through easily accessible devices such as smartphones and tablets. The data generated through the use of these technologies need to be analyzed for forensic purposes when criminal and terrorist activities are involved. In order to deal with the forensic implications of social networks, current research on both digital forensics and social networks need to be incorporated and understood. This will help digital forensics investigators to predict, detect and even prevent any criminal activities in different forms. It will also help researchers to develop new models/techniques in the future. This paper provides literature review of the social network forensics methods, models, and techniques in order to provide an overview to the researchers for their future works as well as the law enforcement investigators for their investigations when crimes are committed in the cyber space. It also provides awareness and defense methods for OSN users in order to protect them against to social attacks.

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“…Individuals may respond to criticism in a number of ways, which are considered in the next component of the framework. Equivocation, the use of ambiguity or vagueness as a way to save face in response to a difficult or awkward situation, is one potential response to criticism (Bello & Edwards, 2005;Turner, Edgley, & Olmstead, 1975).…”

Section: Criticism 10mentioning

confidence: 99%