Qualitative Methods for Classifying and Detecting Online Identity Deception.

Taylor, J. and Mair, C., 2008. Qualitative Methods for Classifying and Detecting Online Identity Deception. In: CHI 2008: Symposium on Secrets, Lies and Computer Mediated Communication, 5-10 April 2008, Florence, Italy. (Unpublished)

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Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Subjects:Psychology
Group:School of Design, Engineering & Computing
ID Code:7207
Deposited By:Associate Professor Jacqui Taylor
Deposited On:03 Mar 2009 19:13
Last Modified:07 Mar 2013 14:55

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