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If virality is predicated upon images that inspire extremes of emotional response — the pet that faithfully waits for its dead master; a chemical attack in Syria — wouldn’t the tags follow suit?Despite Facebook’s track record of studying emotional manipulation, its tagging AI seems to presume no Wow, Sad, or Angry — no forced smiles on vacation or imposter syndrome at the lit party.

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At some level, this training is no different from Facebook’s algorithm learning based on the images we upload.One is apt to see bits of his world in the most unexpected places”).For me, a kind of referential mania of things unnamed began with fabric swatches culled from Alibaba and fine suiting websites, with their wonderfully zoomed images that give you a sense of a particular material’s grain or flow.A white paper on Facebook’s research site explains that these tags — “concepts,” in their parlance — were chosen based on their physical prominence on photos, as well as the algorithm’s ability to accurately recognize them.Out were filtered the concept candidates that carried “disputed definitions” or were “hard to define visually”: gender identification, context-dependent adjectives (“red, young, happy”), or concepts that are too challenging for an algorithm to learn or distinguish, such as a “landmark” from general, non-landmark buildings.This feature, which the company launched in 2016, is meant as a tool for the visually impaired, who often rely on text-to-voice screen-readers.With these tags added, the screen reader will narrate: “Image may contain: two people, smiling, sunglasses, sky, outdoor, water.” The user may not be able to see an image, but they can get an idea of what it contains, whether people are wearing accessories or facial hair, when they’re on stage or playing musical instruments, whether they’re enjoying themselves.But there’s something attractive in its very prosaic reduction of an image down to its major components, or even its patterning, as with an Alex Dodge painting of an elephant that is identified only as “stripes.” The automatic tagging doesn’t seem integrated with Facebook’s facial recognition feature (“Want to tag yourself?”) but rather allows you to view your life and the lives of your friends as a stranger might, stripped of any familiar names, any emotional context that makes an image more than the sum of its visual parts — resplendent in its utter banality.With the extension, a misty panorama taken from the top of the world’s tallest building becomes ☀️ ️for sky, 🌊 ocean, 🚴 outdoor,💧water; a restaurant snap from Athens, meanwhile, is 👥 six people, 😂 people smiling, 🍴 people eating, 🍎 food, and 🏠 indoor.(Sometimes, when there’s no corresponding emoji it adds an asemic □.) The tags aren’t always completely right, of course; sometimes the algorithms that drive the automatic tagging misses things: recognizing only one person where there are three in a boat in Phuket Province, describing a bare foot as being shod.


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