On November 12 Facebook, Inc. filed its 178th patent application for a consumer profiling technique the company calls “inferring household income for users of a social networking system.”
“The amount of information gathered from users,” explain Facebook programmers Justin Voskuhl and Ramesh Vyaghrapuri in their patent application, “is staggering — information describing recent moves to a new city, graduations, births, engagements, marriages, and the like.” Facebook and other so-called tech companies have been warehousing all of this information since their respective inceptions. In Facebook’s case, its data vault includes information posted as early as 2004, when the site first went live. Now in a single month the amount of information forever recorded by Facebook —dinner plans, vacation destinations, emotional states, sexual activity, political views, etc.— far surpasses what was recorded during the company’s first several years of operation. And while no one outside of the company knows for certain, it is believed that Facebook has amassed one of the widest and deepest databases in history. Facebook has over 1,189,000,000 “monthly active users” around the world as of October 2013, providing considerable width of data. And Facebook has stored away trillions and trillions of missives and images, and logged other data about the lives of this billion plus statistical sample of humanity. Adjusting for bogus or duplicate accounts it all adds up to about 1/7th of humanity from which some kind of data has been recorded.
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The way you type, the rate, common mistakes, intervals between certain characters, is all unique, like your fingerprint, and there are already cyber robots that can identify you as you peck away at keys. Facebook has even patented methods of individual identification with obviously cybernetic overtones, where the machine becomes an appendage of the person. U.S. Patents 8,306,256, 8,472,662, and 8,503,718, all filed within the last year, allow Facebook’s web robots to identify a user based on the unique pixelation and other characteristics of their smartphone’s camera. Identification of the subject is the first step toward building a useful data set to file among the billion or so other user logs. Then comes analysis, then prediction, then efforts to influence a parting of money. Full story...
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“The amount of information gathered from users,” explain Facebook programmers Justin Voskuhl and Ramesh Vyaghrapuri in their patent application, “is staggering — information describing recent moves to a new city, graduations, births, engagements, marriages, and the like.” Facebook and other so-called tech companies have been warehousing all of this information since their respective inceptions. In Facebook’s case, its data vault includes information posted as early as 2004, when the site first went live. Now in a single month the amount of information forever recorded by Facebook —dinner plans, vacation destinations, emotional states, sexual activity, political views, etc.— far surpasses what was recorded during the company’s first several years of operation. And while no one outside of the company knows for certain, it is believed that Facebook has amassed one of the widest and deepest databases in history. Facebook has over 1,189,000,000 “monthly active users” around the world as of October 2013, providing considerable width of data. And Facebook has stored away trillions and trillions of missives and images, and logged other data about the lives of this billion plus statistical sample of humanity. Adjusting for bogus or duplicate accounts it all adds up to about 1/7th of humanity from which some kind of data has been recorded.
(...)
The way you type, the rate, common mistakes, intervals between certain characters, is all unique, like your fingerprint, and there are already cyber robots that can identify you as you peck away at keys. Facebook has even patented methods of individual identification with obviously cybernetic overtones, where the machine becomes an appendage of the person. U.S. Patents 8,306,256, 8,472,662, and 8,503,718, all filed within the last year, allow Facebook’s web robots to identify a user based on the unique pixelation and other characteristics of their smartphone’s camera. Identification of the subject is the first step toward building a useful data set to file among the billion or so other user logs. Then comes analysis, then prediction, then efforts to influence a parting of money. Full story...
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