Interpretable models for the automated detection of human trafficking in illicit massage businesses
Interpretable models for the automated detection of human trafficking in illicit massage businesses
复制标题
自动检测非法按摩行业人口贩运的可解释模型
DOI：
10.1080/24725854.2022.2113187
复制
发表时间：
2022
影响因子：
2.6
通讯作者：
Caltagirone, Sherrie
中科院分区：
文献类型：
--
作者：
Tobey, Margaret;Li, Ruoting;Özaltın, Osman Y.;Mayorga, Maria E.;Caltagirone, Sherrie
美国各地的性取向机构经常冒充按摩企业，迫使受害工人从事性和劳动力贩运的混合活动，同时损害合法的按摩行业。具有不同目标和方法的利益相关者都报告需要多源数据来明确和透明地识别最严重的罪犯并突出行为模式。我们利用与执法部门，监管机构，合法按摩从业者和非营利组织的主题专家的主要利益相关者访谈的结果来确定非法按摩业务（IMB）的数据来源和潜在指标。我们的分析重点是来自德克萨斯州和佛罗里达的开源数据，包括来自Yelp.com的客户评论和业务数据、美国人口普查以及卡车停靠站、高速公路和军事基地位置等GIS文件。我们建立了两个可解释的预测模型，风险评分和最优决策树，以确定给定的按摩机构是IMB的风险。拟议的基于多源数据的方法和可解释的模型可供各级利益攸关方使用，以节省时间和资源，为受害工人服务，并支持知情的监管工作。
Sexually oriented establishments across the United States often pose as massage businesses and force victim workers into a hybrid of sex and labor trafficking, simultaneously harming the legitimate massage industry. Stakeholders with varied goals and approaches to dismantling the illicit massage industry all report the need for multi-source data to clearly and transparently identify the worst offenders and highlight patterns in behaviors. We utilize findings from primary stakeholder interviews with law enforcement, regulatory bodies, legitimate massage practitioners, and subject-matter experts from nonprofit organizations to identify data sources and potential indicators of illicit massage businesses (IMBs). We focus our analysis on data from open sources in Texas and Florida including customer reviews and business data from Yelp.com, the U.S. Census, and GIS files such as truck stop, highway, and military base locations. We build two interpretable prediction models, risk scores and optimal decision trees, to determine the risk that a given massage establishment is an IMB. The proposed multi-source data-based approach and interpretable models can be used by stakeholders at all levels to save time and resources, serve victim-workers, and support well informed regulatory efforts.
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检查美国举办商业性行为和性贩运的非法按摩企业的地理位置：人口普查和城市层面因素的作用
影响因子：
2.1
作者：
Ieke de Vries
通讯作者：
Ieke de Vries
用于在线广告人口贩运检测的上下文特定语言模型
DOI：
10.18653/v1/p19-1114
发表时间：
2019
期刊：
--
影响因子：
--
作者：
Saeideh Shahrokh Esfahani;Michael J. Cafarella;M. Pouyan;Gregory J. DeAngelo;E. Eneva;Andy E. Fano
通讯作者：
Andy E. Fano
DOI：
10.1109/eisic49498.2019.9108860
发表时间：
2019
期刊：
2019 European Intelligence and Security Informatics Conference (EISIC)
影响因子：
--
作者：
Jessica Zhu;Lin Li;Cara Jones
通讯作者：
Cara Jones
性贩卖
影响因子：
0.5
作者：
Valerie J Reap
通讯作者：
Valerie J Reap
影响因子：
1.6
作者：
Hélène Verhaeghe;Siegfried Nijssen;Gilles Pesant;Claude;P. Schaus
通讯作者：
P. Schaus