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As if finding out one's "Online Persona" or everyday activities is not sufficiently revealing, MIT goes one step further as it started looking at your online surfing behavior. Eyebrowse [csail.mit.edu] is an add-on for Firefox developed by the Computer Science and Artificial Intelligence Lab at MIT, which has the ability to record, visualize, and share one's browser history in real-time. The resulting data is represented as a collection of insightful data visualizations, such as individual profiles, tickers, page stats or more data-heavy bar graphs, timelines and dot charts that highlight day-by-day usage patterns (e.g. top URLs, #websites over time and time patterns respectively).

These visualizations should allow one to gain personal and social insights, even catching a glimpse of what Google "knows" about online usage patterns of individuals. For instance, users can learn how much time they spend on reading the news or other online procrastinations. Currently, most web browsing data is collected by search engine companies (e.g. Google, Microsoft, Alexa), which is hardly available for public domain research. Eyebrowse seeks to fill this gap by providing an open and public repository of "web trails". By making this data openly available, the project hopes to support the creation of useful public services that report major trends on the web, services that support personalization through collaborative filtering, and other as-yet unimagined services that require a mass of data about the world's interaction with the web.