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Facebook patents technology to predict where you will be in the future 


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What reasons lead you to think that someone may be spying on you? You are not a TV personality or lingerie top model.

Unfortunately, data management and violations of privacy committed by Facebook do not depend on a person’s relevance in society, since social media users are seen as products, not people.

It is very likely that the way in which Facebook manages user data might be just enough to ring all alarms

Let’s review some of the most disturbing patents that Facebook is betting on to learn even more about you, the user.

If you thought that Facebook’s intrusion into your private life had reached such a point that they would be able to know where you are at each particular moment, you are falling short.

The truth is that the control they have over your movements can lead them to predict where you will be in the future.

This is reflected in a series of Facebook patents, in which they describe how to predict your next destination based on the places you have visited in the past and the routes that other users have made that share a pattern with you.

In this way, they could define location chains, which could be used, according to the patent, to “send advertising to users based on locations”.

Facebook can now deduct if you have a significant other or not. This is done through inferences about the degree of relationship of the users of the social network.

The multinational filed a patent in 2014 in which it warned of its intention to predict your marital status based on the frequency with which you visit the page of other users, the number of people that appear in your profile picture and the percentage of friends of the opposite sex.

Depending on each of these parameters, the social network gives a score to each user whose sum allows them to determine if they have a partner.

In addition, Facebook uses its technology to learn more about your personality so they can push more junk products. The patent for this technology is now six years old.

Through the linguistic analysis of everything you write on your platform, Facebook uses a trained model to predict the characteristics that make up your personality – if you are introverted, funny, very talkative or unpleasant – and offer you more segmented publicity.

Billions living in a disinformation bubble

In 2011, the internet activist Eli Pariser warned of a very present phenomenon in our days that he baptized as a filter bubble.

He defined it as a digital environment in which people lose access to the sources of information with which they do not identify ideologically, which limits their understanding of the world.

The filters show you personalized content based on your tastes, so they will not show you information that they understand is not of your interest.

“What’s inside the bubble that surrounds you depends on who you are and what you like, but you’re not the one who directly decides what goes into that bubble, algorithms do,” he explained then.

A year later, Facebook presented its first patent in this line, although it has been nuanced with the passage of time.

The company describes how it uses the information about the reactions that its users have with the contents that they show them in their news feed to determine if it is of their interest or not.

“Users prefer to see news relevant to their personal interests or interesting news for users of social networks connected to them or who have relevant interests,” claimed the patent.

Therein is where lies the danger. Social media users become their own filters of information, and Facebook is happy to provide them only what they think they need to know.

About the author: Luis R. Miranda

Luis Miranda is an award-winning journalist and the Founder and Editor of The Real Agenda News. His career spans over 20 years and almost every form of news media. He writes about environmentalism, geopolitics, globalisation, health, corporate control of government, immigration and banking cartels. Luis has worked as a news reporter, On-air personality for Live news programs, script writer, producer and co-producer on broadcast news.

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