{"id":7968,"date":"2016-03-10T06:26:45","date_gmt":"2016-03-10T06:26:45","guid":{"rendered":"http:\/\/revoscience.com\/en\/?p=7968"},"modified":"2016-03-10T06:26:45","modified_gmt":"2016-03-10T06:26:45","slug":"browsing-in-public","status":"publish","type":"post","link":"https:\/\/www.revoscience.com\/en\/browsing-in-public\/","title":{"rendered":"Browsing in public"},"content":{"rendered":"

System lets Web users share aspects of their browsing history with friends, researchers.<\/strong><\/em><\/span><\/p>\n

\n

\"\u201cData<\/a>
\u201cData has traditionally been used by anyone from corporations to the government,\u201d Mor Naaman says. \u201cBut the goal of this system is to make the data more useful for the individuals themselves, to give them more control, and to make it more useful to communities.\u201d
Image: Jose-Luis Olivares\/MIT<\/figcaption><\/figure>\n

CAMBRIDGE, Mass.<\/strong> —\u00a0Researchers at MIT\u2019s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a new system that allows Web users to share self-selected aspects of their online activity with their friends and the general public. The hope is to give users themselves, as well as academics and other scientists conducting research in the public interest, access to the same type of browsing data that big Web companies currently collect and mine to better target products to individual consumers.<\/span><\/p>\n

The researchers also hope that systems like theirs could encourage changes in the regulatory environment that would give Web users more control over which of their data are collected and how they\u2019re used.<\/span><\/p>\n

They describe the new system, which they\u2019ve dubbed Eyebrowse, in a paper presented last week at the Association for Computing Machinery\u2019s conference on Computer-Supported Cooperative Work and Social Computing, in San Francisco. The paper also describes the results of a survey of potential end users, which helped guide the system\u2019s design, and of a field trial of the system. The findings suggest that Web users could, indeed, find it worth their while to share data about their online activities.<\/span><\/p>\n

[pullquote]The researchers also hope that systems like theirs could encourage changes in the regulatory environment that would give Web users more control over which of their data are collected and how they\u2019re used.[\/pullquote]<\/p>\n

\u201cWe thought of a pretty long list of specific applications of this data that were useful to the end user,\u201d says David Karger, an MIT professor of electrical engineering whose group began developing the system in 2010. \u201cAwareness of where your friends are, the ability to run into them, the ability to go somewhere and discover that they were there before, and you may want to talk to them about this thing that you both saw. There\u2019s the ability to discover what\u2019s popular, in a very broad way. There\u2019s collaborative filtering.\u201d<\/span><\/p>\n

\u201cThen there\u2019s global analytics,\u201d Karger continues. \u201cGoogle has this interesting 50,000-foot view of the Internet, because they know all the clicks. Most people don\u2019t. There are lots of interesting questions about social dynamics. What are Democrats reading? You can\u2019t answer that question right now. There are things that the population as a whole would be interested in knowing, and also things that scholars would be interested in knowing.\u201d<\/span><\/p>\n

\u201cThe trackers don\u2019t give us a choice about what gets tracked,\u201d he adds. \u201cAnd I\u2019d really like to demonstrate that giving people a choice has positive benefits. And maybe someday that will turn into legislation that says that people have the right to decide whether they get tracked or not, in certain circumstances. If people do buy into voluntary tracking, then maybe we don\u2019t need involuntary tracking, and that would be pretty wonderful.\u201d<\/span><\/p>\n

\u201cBut of course, it only works if people want to do it. So a lot of this paper was about understanding whether and how people want to do this.\u201d<\/span><\/p>\n

Managed browsing<\/strong><\/span><\/p>\n

For the past year and half, the lead researcher on the Eyebrowse project has been Amy Zhang, an MIT graduate student in electrical engineering and computer science and first author on the new paper. She\u2019s joined by Karger, who is her thesis advisor, and by Joshua Blum, who received his master\u2019s in electrical engineering and computer science from MIT this year.<\/span><\/p>\n

Eyebrowse currently consists of two components: a website and an extension to Google\u2019s Chrome Web browser. Installing the extension involves two mouse clicks and takes seconds. Thereafter, anytime the user visits a Web page, clicking the Eyebrowse icon on the browser task bar will pull down a window offering an array of features.<\/span><\/p>\n

One is the opportunity to add the site\u2019s domain name to the user\u2019s \u201cwhitelist.\u201d As long as the Eyebrowse extension is turned on, the system will record the user\u2019s visits to pages on whitelisted sites. But the pull-down window also features a switch for turning Eyebrowse off, for private browsing. (The Eyebrowse icon, an open eye, \u201ccloses\u201d when the system is off.) Similarly, it offers a button for reporting visits to sites not on the whitelist.<\/span><\/p>\n

The pull-down window also lists which members of the Eyebrowse community have visited the page and when, any annotations that they have made to the page, a field that allows the user to make his or her own annotations, and a chat window for Eyebrowse users.<\/span><\/p>\n

Viewing data<\/strong><\/span><\/p>\n

The Eyebrowse website looks much like Facebook\u2019s \u201cnews feed,\u201d with a list of pages recently visited by members of the Eyebrowse community. The user can toggle between two versions of the list, one that includes all Eyebrowse members and one that includes only those actively \u201cfollowed\u201d by the user.<\/span><\/p>\n

By default, the lists are sorted according to a simple ranking algorithm, which factors in the number of people that have visited each page, the amount of time they spent there, and the time of the last visit. But the lists can also be sorted according to each of those factors independently.<\/span><\/p>\n

The website also provides visualization tools that allow users to view both their own browsing histories and those of the Eyebrowse community at large, as graphs, pie charts, and \u201cword clouds\u201d that represent the frequency with which particular words turn up in the sites visited by Eyebrowse users.<\/span><\/p>\n

The field trial involved 24 users, who used the system for varying lengths of time, from a week to almost three months. Most shared between 10 and 25 links a day, but participants whose friends were also using the system tended to share more, as many as 60 or even 80 links a day.<\/span><\/p>\n

\u201cWhat we have built in terms of potential applications only scratches the surface of what is possible with this data,\u201d Zhang says. \u201cThat\u2019s why the data that people have contributed to Eyebrowse is available in an API [application program interface] on the website for anyone to build on top of or analyze.\u201d<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Researchers at MIT\u2019s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a new system that allows Web users to share self-selected aspects of their online activity with their friends and the general public.<\/p>\n","protected":false},"author":6,"featured_media":7969,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43,28],"tags":[],"class_list":["post-7968","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-computer-science","category-techbiz"],"featured_image_urls":{"full":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",639,426,false],"thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0-150x150.jpg",150,150,true],"medium":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0-300x200.jpg",300,200,true],"medium_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",639,426,false],"large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",639,426,false],"1536x1536":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",639,426,false],"2048x2048":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",639,426,false],"ultp_layout_landscape_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",639,426,false],"ultp_layout_landscape":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",639,426,false],"ultp_layout_portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",600,400,false],"ultp_layout_square":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",600,400,false],"newspaper-x-single-post":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",639,426,false],"newspaper-x-recent-post-big":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",540,360,false],"newspaper-x-recent-post-list-image":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",95,63,false],"web-stories-poster-portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",639,426,false],"web-stories-publisher-logo":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",96,64,false],"web-stories-thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2016\/03\/MIT-PublicBrowsing-1_0.jpg",150,100,false]},"author_info":{"info":["Amrita Tuladhar"]},"category_info":"Computer Science<\/a> Tech<\/a>","tag_info":"Tech","comment_count":"0","_links":{"self":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/7968","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/comments?post=7968"}],"version-history":[{"count":0,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/7968\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media\/7969"}],"wp:attachment":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media?parent=7968"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/categories?post=7968"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/tags?post=7968"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}