Collaborative Research: SaTC: CORE: Medium: Methods and Tools for Effective, Auditable, and Interpretable Online Ad Transparency

协作研究：SaTC：核心：媒介：有效、可审核和可解释的在线广告透明度的方法和工具

• 批准号: 2149680
• 负责人: Blase Ur
• 金额: $ 31.45万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2149680&HistoricalAwards=false
• 关键词: Collaborative; Research; SaTC; CORE; Medium

Targeted online advertising is ubiquitous. Search engines and online social networks provide powerful targeting technologies for advertisers to deliver their messages to specific end users. These technologies help users see more relevant ads, yet raise privacy concerns. Targeted ads impact people's lives in a variety of ways, such as what employment, housing, and credit opportunities they may encounter. Platforms have recently started making transparent to researchers and end-users more data about advertisements. Despite these efforts, initial studies have found significant shortcomings in current transparency mechanisms, necessitating improved methodologies. This project seeks to better understand current transparency mechanisms, develop new methods for collecting transparency data, and design new mechanisms that make transparency more useful to researchers, journalists, civil-society groups, and end-users, ultimately increasing end users' trust in targeted advertising.The research has three key tasks. First, the researchers are mapping the current space of advertising transparency, developing a taxonomy of transparency mechanisms, and conducting user studies to evaluate these mechanisms' utility both for end-users and third-party auditors. Second, transparency is currently implemented very differently by various social media platforms, and the data made available are often not directly suitable for large-scale empirical research. The researchers are developing methodologies to layer additional data on top of platforms' sources of transparency data to extend transparency and standardize data across platforms. Third, the researchers are applying user-centered design practices to develop and evaluate a suite of new ad transparency mechanisms and user interfaces designed for multiple stakeholders: end-users, civil-society groups, and journalists. This project will train students with expertise in security, data science, and human-computer interaction, areas of broad national importance.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.

有针对性的在线广告无处不在。搜索引擎和在线社交网络为广告商提供了强大的定位技术，以将其消息传递给特定的最终用户。这些技术可以帮助用户看到更多相关的广告，但也引发了隐私问题。有针对性的广告以多种方式影响人们的生活，例如他​​们可能遇到的就业、住房和信贷机会。平台最近开始向研究人员和最终用户公开更多有关广告的数据。尽管做出了这些努力，初步研究发现当前透明度机制存在重大缺陷，需要改进方法。该项目旨在更好地了解当前的透明度机制，开发收集透明度数据的新方法，并设计新的机制，使透明度对研究人员、记者、民间社会团体和最终用户更有用，最终提高最终用户对目标的信任广告。该研究有三项关键任务。首先，研究人员正在绘制当前广告透明度的空间，开发透明度机制的分类法，并进行用户研究以评估这些机制对最终用户和第三方审计师的效用。其次，目前各种社交媒体平台对透明度的实施方式截然不同，所提供的数据往往不直接适合大规模实证研究。研究人员正在开发方法，在平台的透明度数据源之上分层附加数据，以扩展跨平台的透明度和标准化数据。第三，研究人员正在应用以用户为中心的设计实践来开发和评估一套新的广告透明度机制和用户界面，这些机制和用户界面是为多个利益相关者（最终用户、民间社会团体和记者）设计的。该项目将培养具有安全、数据科学和人机交互等具有广泛国家重要性的领域专业知识的学生。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值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

Analysis of Google Ads Settings Over Time: Updated, Individualized, Accurate, and Filtered

随着时间的推移分析 Google 广告设置：更新、个性化、准确和过滤

• DOI: 10.1145/3603216.3624968
• 发表时间: 2023-11
• 期刊: Proceedings of the 21st Workshop on Privacy in the Electronic Society
• 作者: Reitinger, Nathan;Wen, Bruce;Mazurek, Michelle L.;Ur, Blase
• 通讯作者: Ur, Blase

Data Subjects’ Reactions to Exercising Their Right of Access

数据主体对行使其访问权的反应

• 发表时间: 2024-08
• 期刊: Proceedings of the 33rd USENIX Security Symposium
• 作者: Borem, Arthur;Pan, Elleen;Obielodan, Olufunmilola;Roubinowitz, Aurelie;Dovichi, Luca;Mazurek, Michelle L.;Ur, Blase
• 通讯作者: Ur, Blase

Evaluation of Ad Transparency Systems

广告透明度系统的评估

• 发表时间: 2024-05
• 期刊: ConPro 2024: IEEE SPW Workshop on Technology and Consumer Protection
• 作者: Bryson, Kevin;Borem, Arthur;Moh, Phoebe;Akgul, Omer;Edelson, Laura;Geeng, Chris;Lauinger, Tobias;Michelle L. Mazurek;McCoy, Damon;Ur, Blase
• 通讯作者: Ur, Blase