A filter bubble – a term coined by Internet activist Eli Pariser – is the effect created by personalized search results as algorithms select what a user will see based on information about the user, such as location, past click-behavior and search history. Some information is rendered invisible while other information is amplified. Pariser warns that this creates the equivalent of a personalized echo chamber. 

The following video discusses how we can create the same effect interpersonally and how to avoid it.