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  1. edu.gcfglobal.org

    Filter bubbles are the result of algorithms that personalize and curate your online content based on your preferences. Learn how filter bubbles can limit your exposure to different viewpoints and perspectives, and how to deal with them.
  2. reutersinstitute.politics.ox.ac.uk

    Filter bubbles are a state of intellectual or ideological isolation that may result from algorithms feeding us news we agree with. Learn how people get their news online, how algorithms influence news consumption, and what the research says about filter bubbles.
  3. techtarget.com

    A filter bubble is an algorithmic bias that skews or limits the information an individual user sees on the internet. The bias is caused by the weighted algorithms that search engines, social media sites and marketers use to personalize user experience ().. The goal of personalization is to present the end user with the most relevant information possible, but it can also cause a distorted view ...
  4. techopedia.com

    Jun 11, 2024A filter bubble is an intellectual isolation caused by websites using algorithms to present information based on user preferences, location, and history. The term filter bubble was coined by internet activist Eli Pariser in 2011. AI algorithms contribute to filter bubbles by analyzing a user's online behavior to predict and display content.
  5. libraryguides.mdc.edu

    LibGuides at Miami Dade College Learning Resources

    https://libraryguides.mdc.edu › FakeNews › FilterBubbles

    7 days agoYour "filter bubble" (a term coined by internet activist Eli Pariser) refers to the idea that this automated personalization, though helpful in some ways, can isolate you from other information. Sometimes referred to as an "echo chamber," the filter bubble created by your online activity can limit your exposure to different points of view ...
  6. The original filter bubble thesis states that the use of personalization algorithms results in a unique universe of information for each of us, with far-reaching individual and societal consequences. The ambiguity of the original thesis has prompted both a conceptual debate regarding its definition and has forced empirical researchers to ...

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    Filter bubble

    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. However, there are conflicting reports about the extent to which personalized filtering happens and whether such activity is beneficial or harmful, with various studies producing inconclusive results. The term filter bubble was coined by internet activist Eli Pariser circa 2010. Wikipedia

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