How your Tinder matches ends up in Facebook’s Friend suggestions

If you’re a Tinder user, you’ve probably already experienced the strange surprise of finding a Facebook friend of your Tinder match. Maybe even a Tinder match with which you did not exchange any message. How is it possible ?

Although you need to use Facebook to connect to Tinder, the dating application swears that you have not set up any system for your matches to end up in friends suggestion. Facebook also says “do not use any information from related applications to suggest friends.” The operation of the algorithms of Facebook being secret because considered as its exclusive intellectual property, we will have to believe them on word. But it is possible to thicken the mystery.
You have exchanged SMS: your address book is automatically imported

Have you exchanged text messages with the match in question? Or even without exchanging, did you record his phone number? If you have the Messenger application on your phone, be aware that it automatically and continuously aspires the contents of your address book. “Facebook will use the information you’ve imported about your contacts to make friends suggestions to you and others,” unambiguously indicates the “learn more” section of the app. Names, phone numbers, e-mail addresses – but also any other information in your address book (physical address, how you are known, or even building code) – are therefore sucked and stored by the network social.

The “Europe vs Facebook” group filed a complaint with the Irish data protection commissioner in 2011 (Facebook Europe is based in Ireland), considering that this feature is not respectful of privacy. After investigation, the Irish authorities found it to be lawful. You can choose to disable this automatic synchronization here. Warning: if your match has activated and saves your number, your information will be sucked anyway. You can also choose to never again appear in anybody’s suggestions from anyone here.

Facebook guesses who you’re going to match

Facebook suggests you as friends “users with whom you have common friends, a common job or common training, shared networks, etc.” Either people like you. In addition, since the time that you frequent Facebook, it begins to know you well. He knows where you studied, who you trade with, who you stall, where you live, probably what your political opinions are, and what your sexual orientation is. And since he knows the same things about so many other people, he is able to find people who really look like you. Tinder on his side does the same. He / she presents you with profiles of people who resemble you, with common friends, shared interests, etc. Because the application knows who you are going to like first: people like you. “Predictive algorithms work primarily because we are more predictable than we think,” says Paul-Olivier Dehaye, mathematician, co-founder of PersonalData.IO. Worse than finding your matches in your suggestions of Facebook friends, know that your next Tinder matches may already be there. It is not magic, or rather it is the magic of homogamy mingled with that of statistics.

You’re experiencing it on Facebook – and you’ll probably never know

If you feel that Facebook is deliberately proposing to you and re-proposing your friend Tinder match that you have withdrawn from your friend list to depress you, it may be that Facebook does this voluntarily. Facebook sometimes makes small experiments on us, without warning. In 2012, 700,000 users had also been manipulated in secret to study emotional contagion, ie whether to read a majority of negative messages in their newsfeed would depress them and vice versa. Since then, users who asked if they were part of the experience via the PersonalData.IO platform were told that it was impossible to reply to them. More recently, the social network in 2015 “conducted a small experiment” according to its own terms on some users and used geolocation to offer them friends, Fusion explains. They were therefore offered new friends according to the places frequented in common. Which users? How long has this experiment been conducted?

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