NetSE: Medium: Collaborative Research: Auditing Internet Content for Credibility, Fairness, and Privacy
NetSE:媒介:协作研究:审核互联网内容的可信度、公平性和隐私
基本信息
- 批准号:1065456
- 负责人:
- 金额:$ 27.74万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-05-01 至 2016-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Millions of users are accessing a portion of billions of Web pages and other content on the Internet on a daily basis. While the networking research community and the public in general are well-aware of the net neutrality problem, i.e., how to develop regulatory policies and auditing mechanisms to prevent Internet Service Providers from discriminating against various applications, very little effort is invested in enabling content neutrality. In particular, it is not a secret that almost every browsing click we make is collected by either Web- or ISP-based 'information collectors and aggregators', and that our profiles are used for online advertising. Still, no public auditing mechanisms, capable of detecting and informing end users about such practices, exist in this emerging area. Take search engines as another example. How does one know that information available on these services is not biased (or will become biased in the future) for commercial, political, or any other reason? More generally, no public auditing systems are capable of monitoring the scope and effectiveness of advertising or spam campaigns on the Internet. The PIs argue that all these questions fundamentally affect fairness at all levels, information credibility, and user privacy, all of which have significant relevance for the future development of the Internet and beyond.The PIs will build a set of methodologies and tools unified in a system capable of (i) enabling auditing mechanisms for the Web advertising domain, (ii) monitoring search engines? services and revealing their neutrality, and (iii) independently determining a Web site's popularity and checking for the truthfulness of advertised popularity. Further, the PIs plan to deploy the developed system on the PlanetLab wide area network testbed to perform long term monitoring of content neutrality in the Internet.Broader Impact: By informing the public of how online advertisers and search engines behave, the auditing system will enable fair competition and preclude monopolies, oligopolies, or collusions, eventually helping to improve online information credibility and user privacy. Even if no bias nor privacy-violating practices were to exist in today's Internet (unfortunately, the PI's preliminary results show that this is not the case), the auditing system and methodologies will always be a barrier for anyone who would believe that applying such approaches might be done without public knowledge and repercussions. By exposing biased content behavior, the auditing system will be capable of revealing discriminating acts that can happen for commercial, social, political, religious, or any other reason, ultimately facilitating the development of free and open society. The PIs will design and disseminate easy-to-use browser extensions and plug-ins that will be capable of assisting end users in detecting content neutrality violations. Education is an integral part of this award. The insights and tools derived from this project will be integrated into the current undergraduate and graduate curricula.
每天,数以百万计的用户正在访问互联网上数十亿网页和其他内容中的一部分。虽然网络研究社区和公众一般都很清楚网络中立性问题,即如何制定监管政策和审计机制,以防止互联网服务提供商歧视各种应用程序,但在实现内容中立性方面投入的努力很少。特别是,我们的几乎每次浏览点击都被基于网络或互联网服务提供商的“信息收集和聚合者”收集,我们的个人资料被用于在线广告,这已经不是什么秘密了。然而,在这一新兴领域还没有能够发现并告知最终用户此类做法的公共审计机制。再以搜索引擎为例。人们如何知道这些服务上提供的信息不会因为商业、政治或任何其他原因而有偏见(或将来会有偏见)?更普遍的是,没有任何公共审计系统能够监测互联网上广告或垃圾邮件活动的范围和有效性。pi认为,所有这些问题都从根本上影响到各个层面的公平、信息可信度和用户隐私,所有这些都与互联网的未来发展及其他方面有着重要的关系。pi将在一个系统中建立一套统一的方法和工具,该系统能够(i)为网络广告领域启用审计机制,(ii)监控搜索引擎。服务并揭示其中立性,以及(iii)独立确定网站的受欢迎程度并检查所宣传的受欢迎程度的真实性。此外,pi计划将开发的系统部署在PlanetLab广域网测试平台上,以执行互联网内容中立性的长期监测。更广泛的影响:通过告知公众在线广告商和搜索引擎的行为,审计系统将促进公平竞争,并排除垄断、寡头垄断或共谋,最终有助于提高在线信息的可信度和用户隐私。即使在今天的互联网上不存在偏见或侵犯隐私的行为(不幸的是,PI的初步结果表明情况并非如此),审计系统和方法也将永远是一个障碍,因为有人认为应用这种方法可能不会引起公众的注意和反响。通过揭露有偏见的内容行为,审计系统将能够揭露可能因商业、社会、政治、宗教或任何其他原因而发生的歧视行为,最终促进自由开放社会的发展。pi将设计和传播易于使用的浏览器扩展和插件,这些扩展和插件将能够帮助最终用户检测违反内容中立性的行为。教育是这个奖项的重要组成部分。从这个项目中获得的见解和工具将被整合到当前的本科和研究生课程中。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Charlie Hu其他文献
A Data Reorganization Technique for Improving Data Locality ofIrregular Applications in Software Distributed Shared MemoryY
软件分布式共享内存中提高不规则应用数据局部性的数据重组技术
- DOI:
- 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
Charlie Hu - 通讯作者:
Charlie Hu
A performance comparison of homeless and home-based lazy release consistency protocols in software shared memory
软件共享内存中无家可归者和基于家庭的延迟释放一致性协议的性能比较
- DOI:
10.1109/hpca.1999.744380 - 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
A. Cox;E. D. Lara;Charlie Hu;W. Zwaenepoel - 通讯作者:
W. Zwaenepoel
OpenMP on Networks of Workstations
工作站网络上的 OpenMP
- DOI:
- 发表时间:
1998 - 期刊:
- 影响因子:0
- 作者:
Honghui Lu;Charlie Hu;W. Zwaenepoel - 通讯作者:
W. Zwaenepoel
On the efficacy of fine-grained traffic splitting protocols in data center networks
数据中心网络中细粒度流量分流协议的功效
- DOI:
10.1145/2254756.2254818 - 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
A. Dixit;P. Prakash;R. Kompella;Charlie Hu - 通讯作者:
Charlie Hu
Charlie Hu的其他文献
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{{ truncateString('Charlie Hu', 18)}}的其他基金
Collaborative Research: NeTS: Medium: Black-box Optimization of White-box Networks: Online Learning for Autonomous Resource Management in NextG Wireless Networks
合作研究:NeTS:中:白盒网络的黑盒优化:下一代无线网络中自主资源管理的在线学习
- 批准号:
2312834 - 财政年份:2023
- 资助金额:
$ 27.74万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Small: Edge AI with Streaming Data: Algorithmic Foundations for Online Learning and Control
合作研究:中枢神经系统核心:小型:具有流数据的边缘人工智能:在线学习和控制的算法基础
- 批准号:
2225950 - 财政年份:2022
- 资助金额:
$ 27.74万 - 项目类别:
Standard Grant
CNS Core: Small: Software-Defined Video Analytics Pipeline: Enabling Resilient, High-Accuracy, and Resource-Effective Video Analytics
CNS 核心:小型:软件定义的视频分析管道:实现弹性、高精度和资源高效的视频分析
- 批准号:
2211459 - 财政年份:2022
- 资助金额:
$ 27.74万 - 项目类别:
Standard Grant
CNS Core: Small: A Split Software Architecture for Enabling High-Quality Mixed Reality on Commodity Mobile Devices
CNS 核心:小型:用于在商用移动设备上实现高质量混合现实的分离式软件架构
- 批准号:
2112778 - 财政年份:2021
- 资助金额:
$ 27.74万 - 项目类别:
Standard Grant
CNS Core: Small: Integrating Real-Time Learning and Control for Large and Dynamic Networked Computer Systems
CNS 核心:小型:集成大型动态网络计算机系统的实时学习和控制
- 批准号:
2113893 - 财政年份:2021
- 资助金额:
$ 27.74万 - 项目类别:
Standard Grant
ICN-WEN: Collaborative Research: SPLICE: Secure Predictive Low-Latency Information Centric Edge for Next Generation Wireless Networks
ICN-WEN:协作研究:SPLICE:下一代无线网络的安全预测低延迟信息中心边缘
- 批准号:
1719369 - 财政年份:2017
- 资助金额:
$ 27.74万 - 项目类别:
Continuing Grant
CSR: Small: Extending Smartphone Battery Life via Prescriptive Energy Profiling
CSR:小:通过规范的能量分析延长智能手机电池寿命
- 批准号:
1718854 - 财政年份:2017
- 资助金额:
$ 27.74万 - 项目类别:
Standard Grant
SBIR Phase I: Enabling Techologies for Energy-Centric Mobile App Design to Extend Mobile Device Battery Life
SBIR 第一阶段:以能源为中心的移动应用程序设计支持技术,以延长移动设备的电池寿命
- 批准号:
1549214 - 财政年份:2016
- 资助金额:
$ 27.74万 - 项目类别:
Standard Grant
SHF: Small: Detecting and Mitigating Smartphone Energy Bugs using Compiler and Runtime Analysis
SHF:小型:使用编译器和运行时分析检测和缓解智能手机能源错误
- 批准号:
1320764 - 财政年份:2013
- 资助金额:
$ 27.74万 - 项目类别:
Standard Grant
NeTS-NOSS: AIDA: Autonomous Information Dissemination in RAndomly Deployed Sensor Networks
NeTS-NOSS:AIDA:随机部署的传感器网络中的自主信息传播
- 批准号:
0721873 - 财政年份:2007
- 资助金额:
$ 27.74万 - 项目类别:
Continuing Grant
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