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Beginner. No background in the topic needed.
1.7M views15 years ago2 recommendations
AI and machine learningThe tech industryPrivacy and surveillance
Eli Pariser explains how personalized search algorithms and social media feeds create invisible filter bubbles that limit our exposure to diverse viewpoints.
ted.com As web companies strive to tailor their services (including news and search results) to our personal tastes, there's a dangerous unintended consequence: We get trapped in a "filter bubble" and don't get exposed to information that could challenge or broaden our worldview. Eli Pariser argues powerfully that this will ultimately prove to be bad for us and bad for democracy. Read our community Q&A with Eli (featuring 10 ways to turn off the filter bubble): on.ted.com/PariserQAWhat people say. Recommended as the seminal talk that popularized the concept of the filter bubble and warned of the societal dangers of algorithmic personalization.
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