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The Problem Of The Filter Bubble

Satisfactory Essays

The term “filter bubble” was coined in 2011when Eli Pariser used it to refer to the way recommendation engines shield people from certain aspects of the real world. The filter bubble is when someone is being surrounded only by people they like and content that they agree with and the danger is that it can polarize populations creating potentially harmful divisions in society (“How to Pop the Filter Bubble.”). I do agree with Pariser about filter bubbles because I think it’s an issue that people don’t really see or think about, which feeds into the underlying problem. To me, filter bubbles encourage everyone to think the same and remain close-minded. Without anyone to disagree with, they’re perfectly content, but they also don’t learn anything or see from someone else’s perspective. Pariser used the example of two people who googled the term “BP” (“How to Pop the Filter Bubble”). One received links to investment news about BP while the other received links to the Deepwater Horizon oil spill, as a result of some recommendation algorithm (“How to Burst the Filter Bubble.”) Social research shows that people prefer to receive information that they agree with instead of information that challenges their beliefs. The problem is intensified when social networks recommend content based on what users already like and on what people similar to them also like. On his blog, Pariser discusses his talk about filter bubbles a few years later. He summarizes how he focused on the dangers of

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