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Measuring the Preference of Image Content for Self-reported Consumers of Child Pornography

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Abstract

Research has begun to critically analyze the types of images collected by child pornography consumers. However, the collections of child pornography consumers may not necessarily be representative of their preferences. In addition, a literature review of the available scales or measurements, which assessed pornography preference, yielded scarce results regarding images of child sexual victimization. First, this paper will review some of the empirical literature on the various types of images collected by child pornography consumers. Next, this author will discuss the development of the Child Pornography Image Preference Scale (CPIPS), a self-report measure of child pornography image preference. Finally, the results of a preliminary test of the CPIPS will be discussed along with the study’s limitations. Overall, by introducing this scale to the academic and law enforcement community, further validation through empirical testing may be achieved for the Child Pornography Image Preference Scale (CPIPS).

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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Seigfried-Spellar, K.C. (2013). Measuring the Preference of Image Content for Self-reported Consumers of Child Pornography. In: Rogers, M., Seigfried-Spellar, K.C. (eds) Digital Forensics and Cyber Crime. ICDF2C 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39891-9_6

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  • DOI: https://doi.org/10.1007/978-3-642-39891-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39890-2

  • Online ISBN: 978-3-642-39891-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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