TWC SBE: Option: Frontier: Collaborative: Towards Effective Web Privacy Notice and Choice: A Multi-Disciplinary Prospective

TWC SBE：选项：前沿：协作：迈向有效的网络隐私声明和选择：多学科前景

• 批准号: 1330141
• 负责人: Barbara van Schewick
• 金额: $ 49.04万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2018-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1330141&HistoricalAwards=false
• 关键词: TWC; SBE; Option; Frontier; Collaborative

Natural language privacy policies have become a de facto standard to address expectations of notice and choice on the Web. Yet, there is ample evidence that users generally do not read these policies and that those who occasionally do struggle to understand what they read. Initiatives aimed at addressing this problem through the development of machine implementable standards or other solutions that require website operators to adhere to more stringent requirements have run into obstacles, with many website operators showing reluctance to commit to anything more than what they currently do. This project offers the prospect of overcoming the limitations of current natural language privacy policies without imposing new requirements on website operators.This frontier project builds on recent advances in natural language processing, privacy preference modeling, crowdsourcing, formal methods, and privacy interfaces to overcome this situation. It combines fundamental research with the development of scalable technologies to semi-automatically extract key privacy policy features from natural language website privacy policies and present these features to users in an easy-to-digest format that enables them to make more informed privacy decisions as they interact with different websites. Work in this project also involves the systematic collection and analysis of website privacy policies, looking for trends and deficiencies both in the wording and content of these policies across different sectors and using this analysis to inform ongoing public policy debates. An important part of this project is to work closely with stake holders in industry to enable the transfer of these technologies to industry for large-scale deployment.

自然语言隐私政策已成为事实上的标准，以解决在Web上的通知和选择的期望。然而，有充分的证据表明，用户通常不会阅读这些政策，而那些偶尔阅读的人也很难理解他们所阅读的内容。旨在通过制定机器可执行的标准或其他解决方案来解决这一问题的举措遇到了障碍，这些标准或解决方案要求网站运营商遵守更严格的要求，许多网站运营商表示不愿意承诺比他们目前所做的更多。该项目提供了克服当前自然语言隐私政策的局限性而不对网站运营商提出新要求的前景。该前沿项目建立在自然语言处理、隐私偏好建模、众包、形式化方法和隐私接口的最新进展之上，以克服这种情况。 它将基础研究与可扩展技术的开发相结合，半自动地从自然语言网站隐私策略中提取关键的隐私策略特征，并以易于理解的格式将这些特征呈现给用户，使他们能够在与不同网站交互时做出更明智的隐私决策。 该项目的工作还包括系统收集和分析网站隐私政策，寻找不同部门这些政策的措辞和内容的趋势和缺陷，并利用这种分析为正在进行的公共政策辩论提供信息。该项目的一个重要部分是与工业界的利益攸关方密切合作，以便能够将这些技术转让给工业界进行大规模部署。