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• 7 years from now game full story how to#

Is it bad that someone could use your Facebook photos to train a facial recognition algorithm? Not necessarily in a way, it’s inevitable. Just think of the mass data extraction of more than 70 million US Facebook users performed by Cambridge Analytica. As a reminder, Facebook users can choose to turn facial recognition on or off at any time.”īut even if this particular meme isn't a case of social engineering, the past few years have been rife with examples of social games and memes designed to extract and collect data. Facebook gains nothing from this meme (besides reminding us of the questionable fashion trends of 2009). "Facebook did not start this trend, and the meme uses photos that already exist on Facebook. "This is a user-generated meme that went viral on its own," a Facebook spokesperson responded. If you uploaded an image of a cat 10 years ago and now-as one of my friends did, adorably-that particular sample would be easy to throw out.įor its part, Facebook denies having any hand in the #10YearChallenge.

As with hashtags that go viral, you can generally place more trust in the validity of data earlier on in the trend or campaign-before people begin to participate ironically or attempt to hijack the hashtag for irrelevant purposes.Īs for bogus pictures, image recognition algorithms are plenty sophisticated enough to pick out a human face.

7 years from now game full story how to#

But data researchers and scientists know how to account for this. Of course, not all the dismissive comments in my Twitter mentions were about the pictures being already available some critics noted that there was too much crap data to be usable. Even the EXIF metadata on the photo wouldn't always be reliable for assessing that date. What's more, for the profile pictures on Facebook, the photo posting date wouldn’t necessarily match the date the picture was taken. In other words, it would help if you had a clean, simple, helpfully labeled set of then-and-now photos. A quick glance through my Facebook friends’ profile pictures shows a friend’s dog who just died, several cartoons, word images, abstract patterns, and more. People don’t reliably upload pictures in chronological order, and it’s not uncommon for users to post pictures of something other than themselves as a profile picture.

But that whole set of profile pictures could end up generating a lot of useless noise. Sure, you could mine Facebook for profile pictures and look at posting dates or EXIF data.

It would help if you knew they were taken a fixed number of years apart-say, 10 years. Ideally, you'd want a broad and rigorous dataset with lots of people's pictures. Imagine that you wanted to train a facial recognition algorithm on age-related characteristics and, more specifically, on age progression (e.g., how people are likely to look as they get older).