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Title:A Functional Analysis of Disinformation
Author(s):Fallis, Don
Subject(s):deception
disinformation
lying
information quality
misinformation
Abstract:Prototypical instances of disinformation include deceptive advertising (in business and in politics), government propaganda, doctored photographs, forged documents, fake maps, internet frauds, fake websites, and manipulated Wikipedia entries. Disinformation can cause significant harm if people are misled by it. In order to address this critical threat to information quality, we first need to understand exactly what disinformation is. After surveying the various analyses of this concept that have been proposed by philosophers and information scientists, I argue that disinformation is misleading information that has the function of misleading.
Issue Date:2014-03-01
Publisher:iSchools
Citation Info:Fallis, D. (2014). A Functional Analysis of Disinformation. In iConference 2014 Proceedings (p. 621 - 627). doi:10.9776/14278
Series/Report:iConference 2014 Proceedings
Genre:Conference Paper / Presentation
Type:Text
Language:english
URI:http://hdl.handle.net/2142/47258
DOI:10.9776/14278
Other Identifier(s):278
Publication Status:published
Peer Reviewed:yes
Rights Information:Copyright 2014 is held by the authors of individual items in the proceedings. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2014-02-28


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