Eli Pariser’s TED Talk, “Beware Online: Filter Bubbles” was a very interesting segment. Pariser coined the term ‘filter bubble’, which he defines as a state in which a website algorithm selectively guesses what information a user would like to see based on information about the user, such as location and past history searches. As a result, users will not have access to all information that is truly available to them. Search results are limited, therefore creating a bubble.
I was shocked to learn that the internet filters what people are searching for. This sucks! When I search something on the internet, I want to know all options available to me, regardless of location or anything else. That’s the reason why people use search engines such as Google: to find something. Options should not be limited because of these filters. In order to reduce and ultimately eliminate filter bubbles, users need to be diverse in their internet searches.