![age progression meme age progression meme](https://derpicdn.net/img/download/2019/10/16/2170601.png)
Still, the broader takeaway here is that we need to approach our interactions with technology mindful of the data we generate and how it can be used at scale. 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 American Facebook users performed by Cambridge Analytica. What’s more, 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.
![age progression meme age progression meme](https://www.worldoffemale.com/wp-content/uploads/2019/05/happy-birthday-meme-267.jpg)
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. 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.
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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. In other words, thanks to this meme, there’s now a very large data set of carefully curated photos of people from roughly 10 years ago and now. “2008 at University of Whatever, taken by Joe 2018 visiting New City for this year’s such-and-such event”). “me in 2008, and me in 2018”), as well as further info, in many cases, about where and how the pic was taken (e.g. Through the Facebook meme, most people have been helpfully adding that context back in (e.g. Some platforms strip EXIF data for privacy. Some people resort to uploading screenshots of pictures found elsewhere online. They might have uploaded pictures multiple times over years.
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Why? People could have scanned offline photos. 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 that the picture was taken. In other words, it would help if you had a clean, simple, helpfully-labeled set of then-and-now photos.
![age progression meme age progression meme](https://media.wired.com/photos/5c3e6db5ae95ea2c3a290197/4:3/w_2447,h_1835,c_limit/Zuck-vs-Zuck.jpg)
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 data set with lots of people’s pictures. how people are likely to look as they get older). Imagine that you wanted to train a facial recognition algorithm on age-related characteristics, and, more specifically, on age progression (e.g.