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Science
Websee is an experiment. It's an exploration of information relevancy and diversity, and operates under the hypothesis that by collectively sharing our data, better information sources can be created for everyone to enjoy. Beyond this, if we can encourage thousands of people to become the webseers of the internet, we'll be able to empower the scientific exploration of the state of the web with a public database containing a strong sample of the total activity of the web.
There are many questions ripe for immediate exploration, such as:
How diverse are our sources of information? What people or organizations have the most reach in distributing information, and how accurate are these most significant sources? What portion of information we access exists behind private and/or unarchivable walls of the web? How much information do we discover through content aggregators, search, direct browsing, or other sources? How clustered are viewings of sources of information, and how common are echo chambers? What are the browsing tendencies of users that access the most diverse sources of information versus those in echo chambers? How does traffic to particular sources change with events in the real world? What mathematical models best describe web activity, and what predictive power do they have? How much information do people access daily on the web?
These questions, and many more, can be publicly investigated and answered with a sufficient sample of web activity. We're working on building an API and public database for public use, while making no compromises on webseers' security and privacy. Further, we're building a DSL for anyone to design, run and share their own ranking algorithms on websee. If you have a proposal for use of the data in the mean-time, please get in touch! We're open to supporting scientific inquiry, hobbyist curiosity, application developers, and pretty much anything for the greater good!