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Eyebrowse: Selective and Public Web Activity Sharing

Published: 27 February 2016 Publication History

Abstract

Browsing the Internet today is for the most part a private ex-perience, with the exception of a few websites. We explore the possibilities and design considerations around a system to make browsing the web a more social activity. In order to address this, we present a system called Eyebrowse that allows users to selectively share their web browsing activ-ity publicly and with friends, using a whitelist at the domain level. This opens up the capabilities to conduct discussions both in real-time and asynchronously around webpages that are designated by the user as a “public space”, much like public spaces in real life. Eyebrowse also allows users to find interesting content recommendations, collect personal, web-scale, and friend browsing analytics, and maintain a public persona around their browsing data.

References

[1]
Jennifer Fernquist and Ed H. Chi. 2013. Perception and Understanding of Social Annotations in Web Search. In Proc. WWW.
[2]
Batya Friedman, Daniel C Howe, and Edward Felten. 2002. Informed consent in the Mozilla browser: implementing Value-Sensitive Design. In Proc. HICSS.
[3]
Jason I Hong and James A Landay. 2004. An architecture for privacy-sensitive ubiquitous computing. In Proc. MobiSys.
[4]
Chinmay Kulkarni and Ed Chi. 2013. All the News That's Fit to Read: A Study of Social Annotations for News Reading. In Proc. CHI.
[5]
Amy X. Zhang, Joshua Blum, and David Karger. 2016. Opportunities and Challenges Around a Tool for Social and Public Web Activity Tracking. In Proc. CSCW.

Cited By

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  • (2024)An Article a Day: Towards Personal Informatics for Healthy News ConsumptionExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650854(1-9)Online publication date: 11-May-2024

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Published In

cover image ACM Conferences
CSCW '16 Companion: Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion
February 2016
549 pages
ISBN:9781450339506
DOI:10.1145/2818052
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: 27 February 2016

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Author Tags

  1. activity traces
  2. self-presentation
  3. social media
  4. web analytics
  5. web browsing
  6. web tracking

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CSCW '16
Sponsor:
CSCW '16: Computer Supported Cooperative Work and Social Computing
February 26 - March 2, 2016
California, San Francisco, USA

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Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

View all
  • (2024)An Article a Day: Towards Personal Informatics for Healthy News ConsumptionExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650854(1-9)Online publication date: 11-May-2024

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