Selfies are so hot that they might already be over (if I’m aware of something being cool it usually isn’t anymore) but you don’t have to just crank out pictures of your mug taken at arm’s length indiscriminately in hopes of finding an angle that plays well on social media. Thanks to MIT PhD student Aditya Khosla (via CSAIL), you’ll save yourself some arm strain with shortcuts to selfie virality. Using data culled from the analysis of 2.3 million Flickr photos, Khosla developed an algorithm that can predict the popularity of a photo (as it its actual view count) with a high degree of accuracy, based not just on a user’s amount of social influence (previous models already do that) but also factoring in image content. Khosla’s algorithm takes into account factors like color, types of objects included, tags and more to work out how many people will like, look at or share that image.

Read the full story at TechCrunch.

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