SIG HIC - Human Computer Interaction

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Paper Type

Complete

Paper Number

1347

Description

To investigate group deception and demote insider threats, this study leverages network analysis to build a ranking of individuals' trustworthiness. Based on a large-scale, international experiment derived from an adversarial group game, we constructed directed unweighted social networks to analyze the dynamic trust and distrust interaction between individuals. By utilizing orally addressed positive and negative opinions, the networks capture the shifting of trustworthiness. As the outcome of collective group intelligence, the results support that node trustworthiness scores indicate actual trustworthiness. We also show that deception outcomes moderate the relationship between deception and node trustworthiness scores. This study contributes to the growing body of computational methods applied to trust in information systems, providing insights into deception and deception detection in small group contexts.

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Aug 10th, 12:00 AM

Trust and Distrust Network in Group Deception: An Exploratory study

To investigate group deception and demote insider threats, this study leverages network analysis to build a ranking of individuals' trustworthiness. Based on a large-scale, international experiment derived from an adversarial group game, we constructed directed unweighted social networks to analyze the dynamic trust and distrust interaction between individuals. By utilizing orally addressed positive and negative opinions, the networks capture the shifting of trustworthiness. As the outcome of collective group intelligence, the results support that node trustworthiness scores indicate actual trustworthiness. We also show that deception outcomes moderate the relationship between deception and node trustworthiness scores. This study contributes to the growing body of computational methods applied to trust in information systems, providing insights into deception and deception detection in small group contexts.

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