A filter bubble or ideological frame is a state of intellectual isolation that can result from personalized searches, recommendation systems, and algorithmic curation. The search results are based on information about the user, such as their location, past click-behavior, and search history. Consequently, users become separated from information that disagrees with their viewpoints, effectively isolating them in their own cultural or ideological bubbles, resulting in a limited and customized view of the world. The choices made by these algorithms are only sometimes transparent. Prime examples include Google Personalized Search results and Facebook's personalized news-stream.
The term filter bubble was coined by internet activist Eli Pariser, circa 2010.
Visualization of the process and growth of two social media bots used in the 2019 Weibo study. The diagrams represent two aspects of the structure of filter bubbles, according to the study: large concentrations of users around single topics and a uni-directional, star-like structure that impacts key information flows.
Eli Pariser is an author, activist, and entrepreneur. He has stated that his focus is "how to make technology and media serve democracy". He became executive director of MoveOn.org in 2004, where he helped pioneer the practice of online citizen engagement. He is the co-founder of Upworthy, a website for meaningful viral content, and Avaaz, a global citizen's organization. His bestselling book, The Filter Bubble: What the Internet Is Hiding from You, introduced the term “filter bubble” to the lexicon. He is currently an Omidyar Fellow at New America and co-directs the Civic Signals project at the National Conference on Citizenship.
Pariser at the PopTech 2010 conference in Camden, Maine