过滤气泡是一种网站针对个人化搜索而提供筛选后内容的结果。网站内嵌的算法会透过用户的地区、先前活动纪录或是搜索结果来给予用户想要的或是观点一致的结果。这种结果可能会导致用户越来越看不到他们不同意的观点或信息，使得认知过於单向，并处于他们的文化、意识形态气泡之中。

主要的例子为 Google 的个人化搜索结果 以及 Facebook 的个人化动态消息。这个词汇被网络活动者 Eli Pariser

A filter bubble is a result of a personalized search 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 behavior 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 Personalized Search results and Facebook's personalized news stream. The term was coined by internet activist Eli Pariser in his book by the same name; according to Pariser, users get less exposure to conflicting viewpoints and are isolated intellectually in their own informational bubble. Pariser related an example in which one user searched Google for "BP" and got investment news about British Petroleum while another searcher got information about the Deepwater Horizon oil spill and that the two search results pages were "strikingly different". The bubble effect may have negative implications for civic discourse, according to Pariser, but there are contrasting views suggesting the effect is minimal and addressable.