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Information Market for Web Browsing: Design, Usability and Incremental Adoption

Published: 25 January 2019 Publication History

Abstract

Browsing privacy solutions are faced with an uphill battle to deployment. Many operate counter to the economic objectives of popular online services (e.g., by completely blocking ads) and do not provide enough incentive for users who may be subject to performance degradation for deploying them. In this study, we take a step towards realizing a system for online privacy that is mutually beneficial to users and online advertisers: an information market. This system not only maintains economic viability for online services, but provides users with financial compensation to encourage them to participate. We prototype and evaluate an information market that provides privacy and revenue to users while preserving and sometimes improving their Web performance. We evaluate feasibility of the market via a one month field study with 63 users and find that users are indeed willing to sell their browsing information. We also use Web traces of millions of users to drive a simulation study to evaluate the system at scale. We find that the system can indeed be profitable to both users and online advertisers.

Cited By

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  • (2020)A Rapid Method for Information Extraction from Borehole Log ImagesApplied Sciences10.3390/app1016552010:16(5520)Online publication date: 10-Aug-2020

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Published In

cover image ACM SIGMETRICS Performance Evaluation Review
ACM SIGMETRICS Performance Evaluation Review  Volume 46, Issue 3
December 2018
174 pages
ISSN:0163-5999
DOI:10.1145/3308897
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 January 2019
Published in SIGMETRICS Volume 46, Issue 3

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  1. browsing privacy
  2. information market

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Cited By

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  • (2020)A Rapid Method for Information Extraction from Borehole Log ImagesApplied Sciences10.3390/app1016552010:16(5520)Online publication date: 10-Aug-2020

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