The filter bubble : how the new personalized Web is changing what we read and how we think / Eli Pariser.

By: Pariser, EliMaterial type: TextTextPublisher: New York, N.Y. : Penguin Books/Penguin Press, 2012Description: 294 p. ; 20 cmISBN: 0143121235; 9780143121237 (pbk.)Other title: How the new personalized Web is changing what we read and how we thinkSubject(s): Invisible Web | Information organization | Semantic Web -- Social aspects | World Wide Web -- Subject access | Internet -- CensorshipDDC classification: 004.678 PARISER LOC classification: ZA4237 | .P37 2011
Contents:
The race for relevance -- The user is the content -- The Adderall society -- The you loop -- The public is irrelevant -- Hello, world! -- What you want, whether you want it or not -- Escape from the city of ghettos.
Summary: A filter bubble is a term coined by internet activist Eli Pariser in his book by the same name to describe a phenomenon in which websites use algorithms to selectively guess what information a user would like to see, based on information about the user (such as location, past click behaviour and search history). As a result, websites tend to show only information which agrees with the user's past viewpoint, effectively isolating the user in a bubble that tends to exclude contrary information.
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Item type Current library Call number Copy number Status Notes Date due Barcode
Books Books Female Library
ZA4237 .P37 2011 (Browse shelf (Opens below)) 1 Available STACKS 51952000168966
Books Books Main Library
ZA4237 .P37 2011 (Browse shelf (Opens below)) 1 Available STACKS 51952000146223

The race for relevance -- The user is the content -- The Adderall society -- The you loop -- The public is irrelevant -- Hello, world! -- What you want, whether you want it or not -- Escape from the city of ghettos.

A filter bubble is a term coined by internet activist Eli Pariser in his book by the same name to describe a phenomenon in which websites use algorithms to selectively guess what information a user would like to see, based on information about the user (such as location, past click behaviour and search history). As a result, websites tend to show only information which agrees with the user's past viewpoint, effectively isolating the user in a bubble that tends to exclude contrary information.

Includes bibliographical references and index.

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