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Collaborative Research: SaTC: CORE: Medium: A Large-Scale, Longitudinal Resource to Advance Technical and Legal Understanding of Textual Privacy Information

Collaborative Research: SaTC: CORE: Medium: A Large-Scale, Longitudinal Resource to Advance Technical and Legal Understanding of Textual Privacy Information
协作研究:SaTC:核心:中:促进对文本隐私信息的技术和法律理解的大规模纵向资源
批准号:
2105736
负责人:
Shomir Wilson
金额:
$69.97万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-07-01 至 2024-06-30

项目摘要

项目成果

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中文摘要
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英文摘要
A key aspect of consumer privacy protection is transparency. Yet despite a wealth of privacy policies and other texts that are pertinent to organizations' privacy practices, analyzing those documents has been an obstacle to understanding digital privacy at scale. Efforts to leverage information written in privacy policies, terms of service agreements, cookie notices, privacy laws, and other privacy-related documents suffer from a lack of existing resources with sufficient breadth and depth to cover the privacy landscape. In response, this project is creating an infrastructure and repository for the large-scale collection of privacy-related documents online. The collection enables surveying the privacy landscape with previously untenable coverage and accuracy, which also supports legal and public policy analysis. Additionally, it enables researchers to build technologies that bridge the gap between internet users' privacy expectations and the contents of the documents that influence or describe organizations' privacy practices. Research topics being addressed include advancing natural language processing of legal text, identifying privacy norms and outliers for sectors of commerce, and finding ways to effectively communicate changes in privacy-related documents to consumers, researchers, and policymakers.The research team is building a large-scale, longitudinal, annotated, and searchable resource of privacy-related documents: privacy policies, terms of service agreements, cookie notices, privacy laws in the U.S. and around the world, regulatory guidelines, and other related texts on the internet. The team is advancing natural language processing (NLP) techniques for large-scale interpretation of privacy-related documents, as well as analyzing the state of privacy at an unprecedented scale and removing barriers for creating tools that use large amounts of data about privacy practices and regulations to provide insights and recommendations. A core focus of the project is the dissemination of resources for privacy researchers, practitioners, and policymakers, including search engines, corpora, pre-trained language models, APIs, and analysis tools and results. This research is helping to realize long-standing goals to make privacy manageable for consumers, regulators, and others invested in the world's evolving information society.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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies
大规模隐私:PrivaSeer 网络隐私政策语料库简介
DOI: 10.18653/v1/2021.acl-long.532
发表时间: 2021
期刊: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing
影响因子: --
作者: [Srinath, Mukund, Wilson, Shomir, Giles, C Lee]
通讯作者: Giles, C Lee
A large-scale exploration of terms of service documents on the web
对网络服务条款文档的大规模探索
DOI: 10.1145/3469096.3474940
发表时间: 2021
期刊: Proceedings of the 21st ACM Symposium on Document Engineering
影响因子: --
作者: [Sundareswara, Soundarya Nurani, Srinath, Mukund, Wilson, Shomir, Giles, C. Lee]
通讯作者: Giles, C. Lee
CAREER: Large-Scale Exploration and Interpretation of Consumer-Oriented Legal Documents
SaTC: CORE: Medium: Collaborative: Automatically Answering People's Privacy Questions
IRFP: Metalanguage Identification for Interactive Language Technologies
  • 批准号:
    1159236
  • 项目类别:
    Fellowship Award
  • 资助金额:
    $9.81万
  • 财政年份:
    2013
  • 负责人:
    Shomir Wilson
  • 依托单位:
EAPSI: Parsing Metalanguage and the Use-Mention Distinction
  • 批准号:
    1015666
  • 项目类别:
    Fellowship Award
  • 资助金额:
    $0.5万
  • 财政年份:
    2010
  • 负责人:
    Shomir Wilson
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)