Increase in the Prevalence of Online Pornography Use: Objective Data Analysis from the Period Between 2004 and 2016 in Poland
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作者:
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机构:
Karol Lewczuk
Adrian Wójcik
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机构:Cardinal Stefan Wyszyński University in Warsaw,Institute of Psychology
Adrian Wójcik
Mateusz Gola
论文数: 0引用数: 0
h-index: 0
机构:Cardinal Stefan Wyszyński University in Warsaw,Institute of Psychology
Mateusz Gola
机构:
[1] Cardinal Stefan Wyszyński University in Warsaw,Institute of Psychology
[2] Nicolaus Copernicus University,Swartz Center for Computational Neuroscience, Institute for Neural Computation
[3] University of California,Institute of Psychology
[4] Polish Academy of Science,undefined
来源:
Archives of Sexual Behavior
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2022年
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51卷
关键词:
Online pornography;
Pornography use;
Internet;
Hypersexuality;
Compulsive sexual behavior;
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摘要:
Despite the considerable amount of attention presently devoted to the high accessibility of online pornography, very little formal analyses have been carried out to show how the advent and proliferation of Internet technology has changed the prevalence of pornography use in populations. We conducted a preliminary analysis based on objective website traffic data, representing the changes in the number of (1) Internet users generally and (2) online pornography users specifically, between 2004 and 2016 in Poland. We observed a clear increase in the estimated number of people using online pornography in the analyzed period. The estimated number of general population members viewing pornography on the Internet increased over three times (310%) between October 2004 and October 2016–starting from an estimated 2.76 million in the first period to 8.54 million in the last. At the same time, we did not observe a clear increase in the percentage of Internet users who viewed online pornography in the same time period. Additionally, pornography viewership on the Internet was almost 2 times more prevalent among male (47%) than female Internet users (27%), and most popular in the 18–27 age group. Since our analysis is based on objective data, it does not share the limitations inherent in self-reports. However, our approach also has several important limitations (e.g., the analysis does not include online activity generated on mobile devices and under a private browsing mode); thus, the results should be interpreted with caution.