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Filter Bubble: The Dark Side of the Social Media Algorithm


Saturday afternoon, Sept 16, the Jakarta-Bogor commuter brand train which i was driving in commenced to be congested with several passengers throughout a visit Cikini Station. Through the sloppy chatter, I finally discovered that these were area of the mass action of the Rohingya security which have been organised at Monas.

A gentleman seems occupied discussing his experience he just does. Once in a while he exposed the mobile phone, and inspected Facebook. The statuses and items of the people on his Facebook site are almost the same about the Rohingya action filled with photographs.

Same with the gentlemen, I also got time to check on Facebook. However, that which was congested on my Facebook homepage had not been the Rohingya protection action, however the action to dissolve the 1965 Workshop at the Indonesian Legal Establishment Office (LBH) which also occurred on a single day. Information regarding the Rohingya's protection action had not been even there by any means.

However, dissimilarities in this type of content become normal because my pal and father's networking network on Facebook is unquestionably not similar. It is because there's a certain algorithm that works to provide the content that are most highly relevant to each Facebook consumer.

However, there are damaging algorithm results there. From around 2000 of my Facebook friends, this will not mean that no person also talked about the Rohingya protection action at exactly the same time. However, again the Facebook algorithm appears to make it appear to be nothing.

On Facebook, the latest information that roams on someone's porch is the consequence of a filtration system from its digital footprint. That's, what shows up are changes from friends who frequently connect to users. Facebook also filter systems news from individuals who have similarities with the users. At exactly the same time, he continues someone from individuals who have no algorithm in keeping.

This is really because the key goal and function of the Facebook algorithm is to help in tracking data, and undoubtedly an convenience for the advertising industry. The life of an algorithm also helps it be easier for marketers to focus on their markets.

It generally does not just happen on Facebook, other interpersonal media and se's also do a similar thing. Lary Web page, Google's LEADER once said: "The primary internet search engine will understand just what you signify, and return what you would like." 

Eric Schmidt, Professional Chairman of Yahoo, even predicts that someday people can ask Yahoo which university they need to send, or what e book they'll read later.

Eli Pariser, an online activist, sees that we now have dangerous irregularities in the algorithm system. The algorithm eventually creates a "big bubble" which makes someone intellectually isolated.

That is, whenever a person hasn't seen a new viewpoint from someone else, then the opportunity of him to pull on in his own view is large. It really is feared that it'll make it determine the planet from just one single perspective.

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