COMM Facebook gave firms broad access to data on users, friends: report

Housecarl

On TB every waking moment
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http://thehill.com/policy/technolog...-broad-access-to-data-on-users-friends-report

Facebook gave firms broad access to data on users, friends: report

BY AVERY ANAPOL - 06/03/18 10:56 PM EDT
96 Comments

Facebook reportedly formed data-sharing partnerships with dozens of device makers, including Apple and Samsung, giving them access to information on users, as well as on users' friends.

The New York Times revealed the extent of the partnerships on Sunday, shedding new light on the social media giant’s behavior related to customer data in the wake of a scandal involving the political consulting firm Cambridge Analytica.

The Times found that the company had at least 60 such deals over the past decade, many of which are still in effect, allowing the other companies access to personal data of Facebook users and their friends.

The partnerships may have also violated a 2011 Federal Trade Commission consent decree, according to The Times, which Facebook officials denied.

The report comes as Facebook has come under scrutiny for its handling of private data after it was revealed that Cambridge Analytica accessed millions of users’ private information.

The partnerships allowed companies like Apple, Blackberry and Amazon to offer users Facebook features, like the ability to post photos, directly from a device without using the Facebook app.

The Times found that the partnerships allowed outside companies to access personal user data like relationship status, religious and political affiliations, work history and birthdays, as well as the information of users’ Facebook friends, even if the friends had blocked Facebook from sharing their information with third parties.

Facebook officials told the Times in interviews that the data-sharing partnerships were different from app developers' access to Facebook users, and that the device makers are considered “extensions” of the social network.

But security experts and former Facebook engineers expressed concerns that the partnerships offered companies practically unfettered access to hundreds of thousands of Facebook users without their knowledge.

“It’s like having door locks installed, only to find out that the locksmith also gave keys to all of his friends so they can come in and rifle through your stuff without having to ask you for permission,” said Ashkan Soltani, a former FTC chief technologist, according to the Times.

Facebook began ending the partnerships in recent months, but the Times reported that many are still in use.
 

BH

. . . .
The scary part of all this Facebook, Twitter, Google data mining is that this will be the data that teaches the large scale AI.

I can see why Skynet did what it did.
 
The scary part of all this Facebook, Twitter, Google data mining is that this will be the data that teaches the large scale AI.

I can see why Skynet did what it did.

Quite correct.

And, in some number of technical ways, this same process of instructing AI may be a part of the whole Q phenomenon:

A) Q publishes (quite possibly AI suggested comment topics, tweaked by real human beings),

B) which elicits many human online commentary and online discussion, which,

C) the AI system "reads" and "digests" the public online commentary (via data mining and probability algos, etc.,) to evaluate the general tone and tenor/bell curve of the commenting/reading audience,

D) of which such AI-digested public comments and "results" are fed back into the Q responder loop and human-evaluated before,

E) being sent out in the form of new human-Q tweaked comments.

Think of it as the Q human team "teaching" via their comments - then, random thousands/millions of readers respond, followed by the AI "reading" testing, evaluating, ranking in importance the reader comments from "across the internet," noting/identifying significant outliers and developing/trending public opinion sub-perspectives, digesting/reducing all of that public commentary via the AI "data mining" capabilities, and submitting those AI-sifted, boiled-down results back to the Q human team for final eval and incorporation into the "new" Q comments and developing "storyline."

Modern technology assisting in near real-time data gathering, data analysis and decision-making.


intothegoodnight
 
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