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

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    Author
    Giboney, Justin Scott
    Issue Date
    2014
    Keywords
    Linguistics
    Meta-Analysis Software
    Management Information Systems
    Deception
    Advisor
    Nunamaker, Jay F. Jr
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    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.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Graduate College
    Management Information Systems
    Degree Grantor
    University of Arizona
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