Eli Pariser The filter bubble
how the new personalized Web is changing what we read and how we think
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
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