SaTC: CORE: Medium: Collaborative Research: Understanding and Mitigating the Privacy and Societal Risks of Advanced Advertising Targeting and Tracking

SaTC：核心：媒介：协作研究：理解和减轻高级广告定位和跟踪的隐私和社会风险

基本信息

批准号：
1916020
负责人：
Alan Mislove
金额：
$ 79.96万
依托单位：
Northeastern University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2022-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1916020&HistoricalAwards=false
关键词：
SaTC CORE Medium Collaborative Research

项目摘要

Advertising now funds most of the popular web sites and internet services: companies often provide their services for free, in exchange for collecting data from their users as they interact with the service. In recent years, the scale and resolution of user data that platforms collect has led to a dramatic increase in the variety of targeting, reporting, measurement, and tracking mechanisms that platforms offer to advertisers. Unfortunately, our understanding of the privacy and societal risks of these mechanisms has not kept pace with this increase, raising scientific questions about how much advertisers can learn about platform users through these mechanisms, as well as about their potential for acting in a biased or discriminatory way. Because on the Internet can sign up to be an advertiser on all of these platforms -- granting access to these mechanisms and data at very low cost -- makes understanding their implications a critical need. The goal of this project is to improve privacy for all users, and raise awareness among users and regulators of the extensive -- and often hidden -- advertising ecosystem that underlies today's popular services, and the privacy and societal risks it poses.This project is following a three-pronged research agenda. The first set of research tasks centers on enhancing privacy, addressing the problem of revealing advertising statistics while providing strong guarantees of user privacy based on methods from the field of differential privacy. The second set of research tasks focuses on detecting and preventing discrimination, addressing the multitude of ways in which the advertising platforms' features could inadvertently or intentionally discriminate against different groups through the choice of which ads to display to which users. The third set of research tasks addresses issues of transparency and control, studying whether current transparency practices are comprehensive and truthful from both users' and regulators' perspectives, and whether the provided control features have the expected effects on ad delivery and align with people's expectations of privacy.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.

现在，广告资金为大多数受欢迎的网站和互联网服务提供资金：公司经常免费提供服务，以换取在用户与服务互动时从用户那里收集数据。近年来，平台收集的用户数据的规模和分辨率导致平台为广告商提供的目标，报告，测量和跟踪机制的种类急剧增加。不幸的是，我们对这些机制的隐私风险和社会风险的理解并没有跟上这种增长的步伐，从而提出了有关广告商可以通过这些机制学习多少平台用户的科学问题，以及他们以有偏见或歧视性的方式行事的潜力。因为在Internet上可以注册成为所有这些平台的广告商（以非常低的成本授予这些机制和数据的访问），因此理解其含义是至关重要的需求。该项目的目的是提高所有用户的隐私，并提高对当今流行服务的广泛广告广告生态系统的认识，并经常隐藏，并提高其构成的隐私和社会风险。该项目是在三方的研究议程之后进行的。第一组研究任务集中于增强隐私，解决了揭示广告统计数据的问题，同时根据差异隐私领域的方法提供了强大的用户隐私保证。第二组研究任务着重于检测和防止歧视，以解决广告平台可以通过选择哪些广告显示对用户的广告来无意中或故意歧视不同组的多种方式。第三组研究任务解决了透明度和控制的问题，研究当前的透明度实践是否从用户和监管机构的角度来看是全面而真实的，以及所提供的控制功能是否对广告的交付产生了预期影响，并与人们的隐私期望保持一致。该奖项反映了NSF的法定任务，并反映了通过评估的范围来审查构成的范围。

项目成果

期刊论文数量（15）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Private mean estimation of heavy-tailed distributions

DOI：
10.1007/springerreference_205369
发表时间：
2020-01-01
期刊：
COLT
影响因子：
0
作者：
Kamath, Gautam;Singhal, Vikrant;Ullman, Jonathan
通讯作者：
Ullman, Jonathan

Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging

DOI：
10.1145/3437963.3441801
发表时间：
2021-01-01
期刊：
WSDM '21: PROCEEDINGS OF THE 14TH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING
影响因子：
0
作者：
Ali, Muhammad;Sapiezynski, Piotr;Rieke, Aaron
通讯作者：
Rieke, Aaron

A Private and Computationally-Efficient Estimator for Unbounded Gaussians