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2019 | OriginalPaper | Chapter

Characterizing Web Pornography Consumption from Passive Measurements

Authors : Andrea Morichetta, Martino Trevisan, Luca Vassio

Published in: Passive and Active Measurement

Publisher: Springer International Publishing

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Abstract

Web pornography represents a large fraction of the Internet traffic, with thousands of websites and millions of users. Studying web pornography consumption allows understanding human behaviors and it is crucial for medical and psychological research. However, given the lack of public data, these works typically build on surveys, limited by different factors, e.g., unreliable answers that volunteers may (involuntarily) provide.
In this work, we collect anonymized accesses to pornography websites using HTTP-level passive traces. Our dataset includes about \(15\,000\) broadband subscribers over a period of 3 years. We use it to provide quantitative information about the interactions of users with pornographic websites, focusing on time and frequency of use, habits, and trends. We distribute our anonymized dataset to the community to ease reproducibility and allow further studies.

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previous chapter Web Performance Pitfalls
Footnotes
1
As of October \(17^{th}\), 2018 www.​alexa.​com/​topsites.
 
7
A deeper analysis can be found in our previous work [16].
 
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Metadata
Title
Characterizing Web Pornography Consumption from Passive Measurements
Authors
Andrea Morichetta
Martino Trevisan
Luca Vassio
Copyright Year
2019
Book
Passive and Active Measurement

Print ISBN: 978-3-030-15985-6

Electronic ISBN: 978-3-030-15986-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-15986-3_20

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