Eyebrowse: Selective and Public Web Activity Sharing

Browsing the Internet today is for the most part a private experience, 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 activity 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. Author Keywords web browsing; web tracking; activity traces; self-presentation; web analytics; social media ACM Classification Keywords H.5.3. [Group and Organization Interfaces]:...

• Type: Journal
• Year: 2016
• Where: CSCW
• Authors: Amy X. Zhang, David R. Karger, Joshua Blum
• Keywords: CSCW 2016, Social Sciences