Leveraging Publicly Available Data to Discern Patterns of Human-Trafficking Activity
Leveraging Publicly Available Data to Discern Patterns of Human-Trafficking Activity
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利用公开数据来辨别人口贩运活动的模式
DOI：
10.1080/23322705.2015.1015342
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发表时间：
2015
影响因子：
--
通讯作者：
Emily J. Kennedy
中科院分区：
文献类型：
--
作者：
A. Dubrawski;K. Miller;Matt Barnes;Benedikt Boecking;Emily J. Kennedy
我们提出了一些数据分析方法，可用于处理互联网公共区域提供的护送服务的广告。这些数据提供了一个现成的代用证据，用于模拟和识别人口贩运活动。我们展示了如何可以用来识别可能涉及此类活动的广告。我们证明了它的效用，在网络广告数据中识别和跟踪实体，即使强烈可识别的功能是稀疏的。我们还展示了一些可能的方法来执行社区和人口水平的分析，包括行为总结分层的各种类型的活动和检测新出现的趋势和模式。
We present a few data analysis methods that can be used to process advertisements for escort services available in public areas of the Internet. These data provide a readily available proxy evidence for modeling and discerning human-trafficking activity. We show how it can be used to identify advertisements that likely involve such activity. We demonstrate its utility in identifying and tracking entities in the Web-advertisement data even if strongly identifiable features are sparse. We also show a few possible ways to perform community- and population-level analyses including behavioral summaries stratified by various types of activity and detection of emerging trends and patterns.