Measurement and Analysis of an Adult Video Streaming Service

被引：5
|
作者：
Song, Yo-Der [1 ]
Gong, Mingwei [2 ]
Mahanti, Aniket [1 ]
机构：
[1] Univ Auckland, Auckland, New Zealand
[2] Mt Royal Univ, Calgary, AB, Canada
来源：
PROCEEDINGS OF THE 2019 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2019) | 2019年
关键词：
D O I：
10.1145/3341161.3342940
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Pornography can be distributed in multiple forms on the Internet. Online pornography forms a non-negligible fraction of the total Internet traffic, with adult video streaming gaining significant traction among the most visited global websites. Similar to the rise of User Generated Content (UGC) on general Web 2.0 services, adult video service providers have also promoted social interaction and UGC in what is called 'Porn 2.0'. Discovering the characteristics of Porn 2.0 allows for better understanding of both Internet traffic in general and specifically UGC services. In this paper, using trace-driven analysis, we examined the characteristics of one of the most well-known Porn 2.0 service providers, XHamster. We found that a large proportion of the currently available videos were uploaded in recent years and this has coincided with a rapid growth in the use of video categories. Compared to non-adult UGC services, we found user interaction on XHamster to revolve more strongly around ratings than comments and the average duration and views per video were higher.
引用
收藏
页码：489 / 492
页数：4
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