Development And Application Of An Online Tool For Meta-Analyses Using Design Science Principles

Abstract

Nations are becoming increasingly sensitive about securing their borders, leading border security organizations to investigate systems designed to detect deception through linguistic analysis. As research about linguistic deception still has resulted in competing hypotheses, this dissertation uses a design science, information systems approach to build a system that synthesizes research on the linguistics of deception. It also performs a systematic review and meta-analysis to provide information about linguistics of deception to border security organizations. This dissertation outlines features that should be included in collaborative meta-analysis tools: process restriction, task organization, information sharing, task coordination, terminology definition, and simple interfaces. These features are discussed and implemented in a new system www.OrionShoulders.com. Through a systematic review and a behavioral experiment on linguistic of deception using the new system, this dissertation identified seven behavioral and cognitive constructs that could be measured through linguistics during deception: cognitive load, event recollection, guilt, credibility portrayal, distancing, dominant behavior, and hedging. This dissertation contributes a theoretical model that explains these seven constructs and how they are measured. The results of the systematic review and the behavioral experiment showed that hedging terms, first-person pronouns, negative emotion, generalizing terms, and the quantity of words were significantly correlated with deception.