Michael Kearns: Insights on Facebook Data & Psychological Profiling — Hyped but Interesting

Categories: IO Impotency

Michael S. Kearns

The Data That Turned the World Upside Down

Psychologist Michal Kosinski developed a method to analyze people in minute detail based on their Facebook activity. Did a similar tool help propel Donald Trump to victory? Two reporters from Zurich-based Das Magazin went data-gathering.​

Phi Beta Iota: Cambridge Analytica appears to have some deep talents but it is also being grossly over-sold — there appears to be a very calculated hype campaign underway across various media. The bottom line is that Cambridge Analytica did not win the election for Donald Trump, and indeed got it wrong: at noon on Election Day they told The Donald  that he had a 20% chance of winning.

See Especially:

Robert Steele: Donald Trump, The Accidental President — Under Siege! A Soft Coup Rages within a Closed Rigged System…

See Also:

Big Data @ Phi Beta Iota

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Mar 22

Mongoose: Facebook Loves Pedophilia?

Mongoose

#GoogleGestapo works for the Deep State.

Is Facebook Permitting Pedophilia and Child Porn on its Platform?

While Facebook facilitates facial recognition and vacuums up user data by the exa-byte (look it up), they draw the line at being asked to clamp down on child porn being passed around on its servers.

In a shocking story putting the massive social network in a very seedy light, Gizmodo reported last week, “When BBC journalists discovered child porn on the network and sent those images to Facebook last week, the company reported the BBC to police in the UK for the distribution of illegal images.”

That’s right. When informed that pedophiles were passing around pictures of children in the vilest, most unholy ways, Facebook shot the messenger. Well, Facebook asked police to do it for them — metaphorically of course.

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Mar 14

Stephen E. Arnold: US Intelligence Out-Sourced

Stephen E. Arnold

Intelligence Industry Becoming Privatized and Concentrated

Monopolies aren’t just for telecoms and zipper manufacturers. The Nation reveals a much scarier example in its article, “5 Corporations Now Dominate Our Privatized Intelligence Industry.” Reporter Tim Shorrock outlines the latest merger that brings us to this point, one between Pentagon &  NSA contractor Leidos Holdings and a division of Lockheed Martin called Information Systems and Global Solutions. Shorrock writes:

The sheer size of the new entity makes Leidos one of the most powerful companies in the intelligence-contracting industry, which is worth about $50 billion today. According to a comprehensive study I’ve just completed on public and private employment in intelligence, Leidos is now the largest of five corporations that together employ nearly 80 percent of the private-sector employees contracted to work for US spy and surveillance agencies.

Read full article.

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Mar 11

Stephen E. Arnold: Google AI Bombs Big — PBI: But Eric Schmidt Has No Problem Defining Trump as Toxic…

Stephen E. Arnold

Alphabet Google Smart Software Cannot Define Hate

I read “Alphabet’s Hate Fighting AI Doesn’t Understand Hate Yet.” That struck me as odd. I learned in “Google’s AI Learned to Be Highly Aggressive When Stressed.” I assumed that an aggressive AI would take on an online dictionary, wrest the definition of hate from the Web site, and stuff the bits into the voracious multi petabyte storage system available to Deep Mind.

The issue of hate is relevant to hate speech. I think this is a gentle way of saying that unless text has some cue like a known entity which outputs nasty grams or a list of words likely to be used to convey hate, the smart software is performing like most smart software; that is, somewhere in the 40 to 65 percent accuracy range.

Computer scientists and others on the internet have found the system unable to identify a wide swath of hateful comments, while categorizing innocuous word combinations like “hate is bad” and “garbage truck” as overwhelmingly toxic.

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Mar 8