FastCompany Magazine

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fastcodesign:

Infographic: An Amazing, Invisible Truth About Wikipedia
Every Wikipedia entry has an optional feature we take for granted—geotagging. An entry on the Lincoln Memorial will be linked to its specific latitude and longitude in Washington D.C. On any individual post, this may or may not be a useful thing. But what about looking at these locations en masse?
That was a question asked by data viz specialist and programmer Olivier Beauchesne. To find out, he downloaded all of Wikipedia (it’s open-source, after all) then used an algorithm that would assemble 300 topical clusters from popular, related keywords. Then he placed the location of each article in these topical clusters on a map. What he found was astounding.
“Eventually, Beauchesne’s maps evolve to something more than the locations of everything in the world. They become the locations of, quite simply, everything we know.”

fastcodesign:

Infographic: An Amazing, Invisible Truth About Wikipedia

Every Wikipedia entry has an optional feature we take for granted—geotagging. An entry on the Lincoln Memorial will be linked to its specific latitude and longitude in Washington D.C. On any individual post, this may or may not be a useful thing. But what about looking at these locations en masse?

That was a question asked by data viz specialist and programmer Olivier Beauchesne. To find out, he downloaded all of Wikipedia (it’s open-source, after all) then used an algorithm that would assemble 300 topical clusters from popular, related keywords. Then he placed the location of each article in these topical clusters on a map. What he found was astounding.

“Eventually, Beauchesne’s maps evolve to something more than the locations of everything in the world. They become the locations of, quite simply, everything we know.”

(Source: fastcodesign)

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    What data can tell us about us and that relates to nothing about what it was intended to reference. There is fascinating...
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