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+ - How to Burst the "Filter Bubble" that Protects Us from Opposing Views->

Submitted by Jah-Wren Ryel
Jah-Wren Ryel (80510) writes "Computer scientists have discovered a way to number-crunch an individual’s own preferences to recommend content from others with opposing views. The goal? To burst the “filter bubble” that surrounds us with people we like and content that we agree with.

A recent example of the filter bubble at work: Two people who googled the term “BP.” One received links to investment news about BP while the other received links to the Deepwater Horizon oil spill, presumably as a result of some recommendation algorithm."

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How to Burst the "Filter Bubble" that Protects Us from Opposing Views

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