Qualitative Methods for Classifying and Detecting Online Identity Deception

Jacqui Taylor, Carolyn Mair

Research output: Chapter in Book/Report/Published conference proceedingConference contributionpeer-review

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The overall aim of our research is to use qualitative methods to help understand online identity deception. In this position paper, two pilot studies are described. The first was designed to test the feasibility of using content analysis of online discussions to classify the perceptions of the ?net generation? regarding different levels of identity deception. Based on the classifications identified, the second follow-up study will use face-to-face focus groups to collect further thoughts on these classifications, and the new data will be presented at this CHI Workshop. It is hoped that the feedback at the Workshop will help to direct further research using qualitative methods to analyse naturally-occurring identity descriptions found on social networking sites. The overall outcome of the research programme is to produce a set of indicators to assist identity deception in online environments.
Original languageEnglish
Title of host publicationCHI 2008 'the balance between art and science'', May 2008, Florence, Italy
Publication statusPublished - 1 Apr 2008
Externally publishedYes


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