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If Big Data Had A Human Face, What Would It Look Like? Find Out On Twitter Tomorrow

Where do you fit in the big picture online?

The Human Face of Big Data wants to help you figure this out – and your activity on Twitter will play a role in this discovery.

Twitter announced today that it will be hosting a Twitter chat with the@FaceOfBigData team about the role of Twitter in capturing and revealing our patterns and interest trends. You can join the chat tomorrow, Friday, 10/19 at 11am PT/2pm ET via #bigdatachat and #HFOBD.

Every day, Twitter users send 400 million Tweets expressing a vast array of ideas and opinions. Collectively, and studied in aggregate, public Tweets are not only measurable. They can reveal any number of clues and trends about who we are: our cultures, our mindsets, who we favor or disfavor, and much more.

And THAT is what The Human Face of Big Data sets out to do. It seeks to tell our digital story and your role in it.

This groundbreaking app will allow you to anonymously compare answers about yourself, your family, trust, sleep patterns, sex life and dreams with millions of others around the world. The app will also allow you to measure your daily activity (distance traveled, social activeness), as well as help discover your Data Doppelganger; a photo of someone in the world whose answers are most similar to yours.

And they’re “donating $1 per download to Charity: Water for the first 50,000 downloads of the Android or iOS app, as a way to say thanks for participating in The Human Face of Big Data. Charity: Water uses 100% of public donations to directly fund clean water projects.” The app is free to download.

On November 20, they’ll be publishing a large-format book “featuring the remarkable stories and images that illustrate the immense range of big data efforts that already shape our world.”

And check out this awesome Infographic about Twitter based on the data they’ve already gathered. And then watch the video below for more info!

Does this freak you out? Regular readers may notice the similarity to Mind of Man.

(Image from HumanFaceofBigData)

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