Facebook scientists want to know more about what vacation snaps could reveal about travel behavior and the world's most popular locations — and they've trained an A.I. trained on some 58,000 geo-tagged photos to help do so.

The concept is an interesting one. Tourist destinations frequently become popular because they are shared in the form of online images. That, in turn, can have a big effect on influencing where people travel (in a time when such a thing is possible) and even the kinds of photos they take once they are there. To explore this phenomenon, Facebook A.I. researchers used artificial intelligence algorithms to analyze a massive archive of Flickr images, taken between 2004 and 2019, to uncover some of these details and unique insights.

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