Opportunities and Challenges Around a Tool for Social and Public Web Activity Tracking
Name
eyebrowse.pdf
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1.33 MB
Format
Adobe PDF
Checksum (MD5)
3e0feff4f2b418ef6e3f9bfdab69f555
Author(s)
Zhang, Amy Xian
Blum, Joshua M.
Karger, David R.
Date Issued
February 2016
Journal
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing - CSCW '16
Publisher
Association for Computing Machinery (ACM)
Citation
Zhang, Amy X., Joshua Blum, and David R Karger. “Opportunities and Challenges Around a Tool for Social and Public Web Activity Tracking.” Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing - CSCW ’16 (2016). February 27-March 2, 2016, San Francisco, CA, USA. Pages 913-925, ACM: New York, NY, USA ©2016.
Version
Author's final manuscript
Abstract
While the web contains many social websites, people are generally left in the dark about the activities of other people traversing the web as a whole. In this paper, we explore the potential benefits and privacy considerations around generating a real-time, publicly accessible stream of web activity where users can publish chosen parts of their web browsing data. Taking inspiration from social media systems, we describe individual benefits that can be unlocked by such sharing and that may incentivize users to publish aspects of their browsing. We ask whether and how these benefits outweigh potential costs in lost privacy. We conduct our study of public web activity sharing through scenario-based interviews and a field deployment of a tool for web activity sharing.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2818048.2819949
