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.
每天有数百万用户访问互联网上数十亿网页和其他内容的一部分。虽然网络研究界和公众普遍都清楚网络中立性问题,即如何制定监管政策和审计机制来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精力却很少。特别是,我们所做的几乎每一次浏览点击都由基于网络或基于 ISP 的“信息收集者和聚合者”收集,并且我们的个人资料用于在线广告,这已不是什么秘密。尽管如此,这个新兴领域不存在能够检测并向最终用户通报此类做法的公共审计机制。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商业、政治或任何其他原因而存在偏见(或将来会变得有偏见)?更一般地说,没有公共审计系统能够监控互联网上广告或垃圾邮件活动的范围和有效性。 PI 认为,所有这些问题从根本上影响各个层面的公平性、信息可信度和用户隐私,所有这些都对互联网及其他领域的未来发展具有重大意义。PI 将建立一套统一的方法论和工具。系统能够 (i) 启用网络广告领域的审核机制,(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广告受欢迎程度的真实性。此外,PI 计划在 PlanetLab 广域网测试平台上部署开发的系统,以对互联网中的内容中立性进行长期监控。 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方式,审核系统将能够实现公平竞争,排除垄断、寡头垄断或共谋,最终有助于提高在线信息可信度和用户隐私。即使当今的互联网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),对于任何相信应用此类方法的人来说,审计系统和方法将始终是一个障碍可能会在公众不知情和不产生影响的情况下进行。通过揭露有偏见的内容行为,审计系统将能够揭露出于商业、社会、政治、宗教或任何其他原因可能发生的歧视行为,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内容中立违规行为。教育是该奖项不可或缺的一部分。从该项目中获得的见解和工具将被纳入当前的本科生和研究生课程中。
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
Program counter based techniques for dynamic power management
基于程序计数器的动态电源管理技术
- DOI:
10.1109/hpca.2004.10021 - 发表时间:
2004-02-14 - 期刊:
- 影响因子:0
- 作者:
C. Gniady;Charlie Hu;Yung - 通讯作者:
Yung
Yoda: a highly available layer-7 load balancer
- DOI:
10.1145/2901318.2901352 - 发表时间:
2016-04-18 - 期刊:
- 影响因子:0
- 作者:
Rohan G;hi;hi;Charlie Hu;Ming Zhang - 通讯作者:
Ming Zhang
A Hierarchical Approach to Internet Distance Prediction
互联网距离预测的分层方法
- DOI:
10.1109/icdcs.2006.7 - 发表时间:
2006-07-04 - 期刊:
- 影响因子:0
- 作者:
Rongmei Zhang;Charlie Hu;Xiaojun Lin;S. Fahmy - 通讯作者:
S. Fahmy
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:
1999-01-09 - 期刊:
- 影响因子:0
- 作者:
A. Cox;E. D. Lara;Charlie Hu;W. Zwaenepoel - 通讯作者:
W. Zwaenepoel
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
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
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: 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
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
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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相似海外基金
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
- 批准号:
1064595 - 财政年份:2011
- 资助金额:
$ 27.74万 - 项目类别:
Standard Grant
NetSE: Medium: Collaborative Research: Privacy Preserving Social Systems
NetSE:媒介:协作研究:隐私保护社会系统
- 批准号:
0964465 - 财政年份:2010
- 资助金额:
$ 27.74万 - 项目类别:
Standard Grant
NetSE: Medium: Collaborative Research: Promoting Secondary Spectrum Markets via Profitability-Driven Methods and Algorithms
NetSE:媒介:协作研究:通过盈利驱动的方法和算法促进二级频谱市场
- 批准号:
0964170 - 财政年份:2010
- 资助金额:
$ 27.74万 - 项目类别:
Standard Grant
NetSE: Medium: Collaborative Research: Privacy Preserving Social Systems
NetSE:媒介:协作研究:隐私保护社会系统
- 批准号:
0964541 - 财政年份:2010
- 资助金额:
$ 27.74万 - 项目类别:
Standard Grant
NetSE: Medium: Collaborative Research: Promoting Secondary Spectrum Markets via Profitability-Driven Methods and Algorithms
NetSE:媒介:协作研究:通过盈利驱动的方法和算法促进二级频谱市场
- 批准号:
0964652 - 财政年份:2010
- 资助金额:
$ 27.74万 - 项目类别:
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