Breaking out of the Search Bubble

It’s not a secret anymore that most popular search engines store and manipulate all your online activities. From what websites you visit, to what your search results are. This metadata has been used to create context around you as a user, so that whenever an Advertiser wants to promote its product, it would reach the target audience. It’s also being used by search engines to narrow down the results when you are searching something online. Based on your IP, machine and browser cookies, the Web knows everything about you. Or is it really everything?

This context metadata is gathered based on a very loose concept. You are searching for something; you are accessing a webpage, so you must have an interest in that direction. Changing the search engine’s opinion is equal to getting a new IP and machine, so that you start “clean”. Even so, information such as your physical location and country, influence the search results. You are basically locked in a Search Bubble that you cannot get out of and you can’t influence.

But what if you were able to start over “clean”? To choose explicitly what you like and don’t like. To block sources and have metadata, such as how many minutes you spent reading a web page, work for your, not against you?

This is one of the key foundational concepts that MediaServista – The Intelligent Platform – was built on. Rather than assuming what you like, as a web user, it actually learns what you like. MediaServista builds user profilesand can serve all information, indiscriminately. The learning curve, based on its semantic and NLP algorithms, will then learn what you are reading, for how long and it will even let you explicitly suggest what articles you like, or don’t like. It is still a Bubble that will eventually lean on your profile to serve you the exact content you are interested in but it’s not a Search Bubble. This highly democratic concept ensures that you can, at any time, use MediaServista as a publisher, advertiser and user, to predict what content to publish and for whom, based on real user profiles, rather than restricting results delivered to end users, which are not assigned to predefined profiles that apparently match both the publishers’ and advertisers’ goals.

It’s breaking out of the Search Bubble and moving into the future of the web experience, where Publishers and Users meet according to their own natural and uninfluenced Semantic Bubble.