Robot

Filter bubble is a concept developed by Internet activist Eli Pariser to describe a phenomenon where websites use algorithms to predict what information a user may like to see based on the user’s location, search history, etc. As a result, a website may only show information which agrees with the user’s viewpoints. One such example is Google’s personalized search results. To “pop” the bubbles created by Google search (also called de-personalization), Filter Bubble, a Chrome extension that uses hundreds of nodes to distribute a user’s Google search queries worldwide each time the user performs a Google search

A filter bubble is a result state in which a website algorithm selectively guesses what information a user would like to see based on information about the user (such as location, past click behaviour and search history) and, as a result, users become separated from information that disagrees with their viewpoints, effectively isolating them in their own cultural or ideological bubbles. Prime examples are Google's personalised search results and Facebook's personalised news stream.