Title: Prospects for Detecting Deception on Twitter
Abstract: This paper discusses the prospects for building a system that helps a human analyst to detect deception on Twitter. First, based on a previously published taxonomy of cyber deception, Twitter deception is examined. Second, a number of indicators are introduced. These are cues, helpful for a human analyst but not necessary or sufficient characteristics of deception. Third, with the indicators as a background, the prospects for deception detection are discussed. The paper represents a first step towards a systematic method for detecting deception on Twitter.
Publication Year: 2014
Publication Date: 2014-08-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 2
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