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人们觉得哪些类型的色情内容具有刺激性,它们会聚类吗?在一个大规模在线样本中评估色情内容的类型和类别。

What Types of Pornography Do People Find Arousing and Do They Cluster? Assessing Types and Categories of Pornography in a Large-Scale Online Sample.

作者信息

Hald Gert Martin, Štulhofer Aleksandar

机构信息

a Department of Public Health , University of Copenhagen and Clinic of Sexology, Copenhagen University Hospital.

b Sexology Unit, Department of Sociology, Faculty of Humanities and Social Sciences , University of Zagreb.

出版信息

J Sex Res. 2016 Sep;53(7):849-59. doi: 10.1080/00224499.2015.1065953. Epub 2015 Oct 7.

Abstract

Previous research on exposure to different types of pornography has primarily relied on analyses of millions of search terms and histories or on user exposure patterns within a given time period rather than the self-reported frequency of consumption. Further, previous research has almost exclusively relied on theoretical or ad hoc overarching categorizations of different types of pornography, when investigating patterns of pornography exposure, rather than latent structure analyses of these exposure patterns. In contrast, using a large sample of 18- to 40-year-old heterosexual and nonheterosexual Croatian men and women, this study investigated the self-reported frequency of using 27 different types of pornography and statistically explored their latent structures. The results showed substantial differences in consumption patterns across gender and sexual orientation. However, latent structure analyses of the 27 different types of pornography assessed suggested that although several categories of consumption were gender and sexual orientation specific, common categories across the different types of pornography could be established. Based on this finding, a five-item scale was proposed to indicate the use of nonmainstream (paraphilic) pornographic content, as this type of pornography has often been targeted in previous research. To the best of our knowledge, no similar measurement tool has been proposed before.

摘要

先前关于接触不同类型色情内容的研究主要依赖于对数以百万计的搜索词和浏览历史的分析,或者给定时间段内的用户接触模式,而非自我报告的消费频率。此外,先前的研究在调查色情内容接触模式时,几乎完全依赖于对不同类型色情内容的理论或临时总体分类,而非对这些接触模式的潜在结构分析。相比之下,本研究以18至40岁的克罗地亚异性恋和非异性恋男性及女性为大样本,调查了自我报告的使用27种不同类型色情内容的频率,并对其潜在结构进行了统计探索。结果显示,不同性别和性取向的消费模式存在显著差异。然而,对所评估的27种不同类型色情内容的潜在结构分析表明,尽管有几类消费具有性别和性取向特异性,但不同类型色情内容之间仍可建立共同类别。基于这一发现,提出了一个五项量表来指示对非主流(恋物癖)色情内容的使用,因为这类色情内容在先前的研究中经常受到关注。据我们所知,此前尚未提出过类似的测量工具。

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