D-ISN: Understanding the New Online Advertisement Ecosystem and its Links to Human Trafficking and Other Organized Crime

D-ISN:了解新的在线广告生态系统及其与人口贩运和其他有组织犯罪的联系

基本信息

  • 批准号:
    2240299
  • 负责人:
  • 金额:
    $ 73.09万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-07-01 至 2026-06-30
  • 项目状态:
    未结题

项目摘要

The objective of this Disrupting Operations of Illicit Supply Networks (D-ISN) project is to better understand the online adult advertisement ecosystem and its links to human trafficking and other organized crime in order to more effectively detect, disrupt, and dismantle existing illicit networks in this ecosystem. Since the closure of the dominant adult ad website, Backpage, many competing sites have emerged. Also, the prevalence of anonymous electronic payment methods has led to a significant increase in scam ads, which adds noise for identifying trafficked individuals. The fragmented marketplace, large volume of ad postings, and presence of scam ads have made monitoring efforts quite chaotic. Moreover, little is known about links between new adult ad sites, how they operate, and how the patterns that emerge in adult ad data correlate with other illicit activities. This project will determine methods to filter signal and noise in the ad data to inform law enforcement organizations (LEOs) and policy-makers operating in this new environment. Developing a deep understanding of how the sites work with the potential to uncover links to higher-level organized crime will provide a new foundation upon which researchers in diverse areas including operations research, cybersecurity, and the social sciences can use to study and disrupt human trafficking in the digital age.Using more than 100 million adult ads posted since 2020 from 14 sites, this research project has four research objectives: (1) understand the posting processes, monetization schemes, and the protection and defense mechanisms employed by prominent sites in the current online adult ad ecosystem; (2) develop multidisciplinary approaches for estimating ad legitimacy; (3) investigate techniques that legitimate posters use to evade law enforcement interdiction; and (4) Understand how multiplex network analysis (i.e., drugs, transportation) can contribute to improved accuracy for identifying potential trafficking activity. We collaborate with a regional human trafficking task force, which is composed of officers from several LEOs, and a non-profit organization that works to identify potential trafficking victims and connect them with resources to get out of “the life.” A diverse group of researchers, practitioners, and students will participate in this project. The research team will take deliberate efforts to recruit students from underrepresented groups for this project. Developed methods will be incorporated into undergraduate and graduate course materials for IS, OR, and Analytics programs. The outcomes of this project will be made publicly accessible and broadly distributed via publications, presentations, and workshops aimed at researchers, LEOs, and the general public.This project is jointly funded by the Disrupting Illicit Supply Networks (D-ISN) program and the Established Program to Stimulate Competitive Research (EPSCoR).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
这一非法供应网络扰乱行动(D-ISN)项目的目标是更好地了解在线成人广告生态系统及其与人口贩运和其他有组织犯罪的联系,以便更有效地发现、破坏和摧毁这一生态系统中现有的非法网络。自从占主导地位的成人广告网站BackPage关闭以来,出现了许多竞争对手的网站。此外,匿名电子支付方式的流行导致诈骗广告大幅增加,这增加了识别被贩运个人的噪音。分散的市场,大量的广告张贴,以及诈骗广告的存在,使得监控工作相当混乱。此外,人们对新的成人广告网站之间的联系、它们是如何运作的,以及成人广告数据中出现的模式与其他非法活动之间的关联知之甚少。该项目将确定过滤广告数据中的信号和噪声的方法,以告知在这种新环境下运作的执法组织(LEO)和政策制定者。深入了解这些网站是如何工作的,并有可能发现与更高级别的有组织犯罪的链接,这将为运筹学、网络安全和社会科学等不同领域的研究人员提供一个新的基础,以研究和破坏数字时代的人口贩运。这项研究项目使用了自2020年以来从14个网站发布的1亿多个成人广告,该研究项目有四个研究目标:(1)了解当前在线成人广告生态系统中突出网站的发布过程、货币化计划以及保护和防御机制;(2)开发多学科方法来评估广告的合法性;(3)调查合法海报用来逃避执法拦截的技术;以及(4)了解多路网络分析(即毒品、运输)如何有助于提高识别潜在贩运活动的准确性。我们与一个由来自几个狮子座的官员组成的地区性人口贩运特别工作组和一个非营利性组织合作,该组织致力于识别潜在的人口贩运受害者,并将他们与资源联系起来,以摆脱“生活”。一群不同的研究人员、从业者和学生将参与这个项目。研究小组将采取深思熟虑的努力,从代表性不足的群体中招募学生参加这个项目。开发的方法将被纳入IS、OR和分析课程的本科生和研究生课程材料中。该项目的成果将通过面向研究人员、LEOS和公众的出版物、演示文稿和研讨会向公众公开和广泛分发。该项目由破坏非法供应网络(D-ISN)计划和既定的刺激竞争研究计划(EPSCoR)联合资助。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Nickolas Freeman其他文献

Robust Sourcing under Multi-level Supply Risks: Analysis of Random Yield and Capacity
  • DOI:
    https://doi.org/10.1287/ijoc.2022.1254
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
  • 作者:
    Ming Zhao;Nickolas Freeman;Kai Pan
  • 通讯作者:
    Kai Pan

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