A filter bubble is a term coined by internet activist Eli Pariser in his book by the same name to describe a phenomenon in which websites use algorithms to selectively guess what information a user would like to see, based on information about the user (such as location, past click behaviour and search history). As a result, websites tend to show only information which agrees with the user's past viewpoint, effectively isolating the user in a bubble that tends to exclude contrary information.

The race for relevance -- The user is the content -- The Adderall society -- The you loop -- The public is irrelevant -- Hello, world! -- What you want, whether you want it or not -- Escape from the city of ghettos.