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On the 21st floor of a high-rise hotel in Cleveland, in a room full of political operatives, Microsoft’s Research Division was advertising a technology that could read each facial expression in a massive crowd, analyze the emotions, and report back in real time. “You could use this at a Trump rally,” a sales representative told me. At both the Republican and Democratic conventions, Microsoft sponsored event spaces for the news outlet Politico. Politico, in turn, hosted a series of Microsoft-sponsored discussions about the use of data technology in political campaigns. And throughout Politico’s spaces in both Philadelphia and Cleveland, Microsoft advertised an array of products from “Microsoft Cognitive Services,” its artificial intelligence and cloud computing division. At one exhibit, titled “Realtime Crowd Insights,” a small camera scanned the room, while a monitor displayed the captured image. Every five seconds, a new image would appear with data annotated for each face — an assigned serial number, gender, estimated age, and any emotions detected in the facial expression. When I approached, the machine labeled me “b2ff” and correctly identified me as a 23-year-old male.

“Realtime Crowd Insights” is an Application Programming Interface (API), or a software tool that connects web applications to Microsoft’s cloud computing services. Through Microsoft’s emotional analysis API — a component of Realtime Crowd Insights — applications send an image to Microsoft’s servers. Microsoft’s servers then analyze the faces and return emotional profiles for each one. In a November blog post, Microsoft said that the emotional analysis could detect “anger, contempt, fear, disgust, happiness, neutral, sadness or surprise.” Microsoft’s sales representatives told me that political campaigns could use the technology to measure the emotional impact of different talking points — and political scientists could use it to study crowd response at rallies.

Facial recognition technology — the identification of faces by name — is already widely used in secret by law enforcement, sports stadiums, retail stores, and even churches, despite being of questionable legality. As early as 2002, facial recognition technology was used at the Super Bowl to cross-reference the 100,000 attendees to a database of the faces of known criminals. The technology is controversial enough that in 2013, Google tried to ban the use of facial recognition apps in its Google glass system. But “Realtime Crowd Insights” is not true facial recognition — it could not identify me by name, only as “b2ff.” It did, however, store enough data on each face that it could continuously identify it with the same serial number, even hours later. The display demonstrated that capability by distinguishing between the number of total faces it had seen, and the number of unique serial numbers. Photo: Alex Emmons

In 2012, The Guardian reported on Facebook’s arbitrary and ridiculous nudity and violence guidelines which allow images of crushed limbs but – dear god spare us the image of a woman breastfeeding. Still, people stayed – and Facebook grew. In 2014, Facebook admitted to mind control games via positive or negative emotional content tests on unknowing and unwilling platform users. Still, people stayed – and Facebook grew. Following the 2016 election, Facebook responded to the Harpie shrieks from the corporate Democrats bysetting up a so-called “fake news” task force to weed out those dastardly commies (or socialists or anarchists or leftists or libertarians or dissidents or…). And since then, I’ve watched my reach on Facebook drain like water in a bathtub – hard to notice at first and then a spastic swirl while people bicker about how to plug the drain. And still, we stayed – and the censorship tightened. Roughly a year ago, my show Act Out! reported on both the censorship we were experiencing but also the cramped filter bubbling that Facebook employs in order to keep the undesirables out of everyone’s news feed. Still, I stayed – and the censorship tightened. 2017 into 2018 saw more and more activist organizers, particularly black and brown, thrown into Facebook jail for questioning systemic violence and demanding better. In August, puss bag ass hat in a human suit Alex Jones was banned from Facebook – YouTube, Apple and Twitter followed suit shortly thereafter. Some folks celebrated. Some others of us skipped the party because we could feel what was coming.

On Thursday, October 11th of this year, Facebook purged more than 800 pages including The Anti-Media, Police the Police, Free Thought Project and many other social justice and alternative media pages. Their explanation rested on the painfully flimsy foundation of “inauthentic behavior.” Meanwhile, their fake-news checking team is stacked with the likes of the Atlantic Council and the Weekly Standard, neocon junk organizations that peddle such drivel as “The Character Assassination of Brett Kavanaugh.” Soon after, on the Monday before the Midterm elections, Facebook blocked another 115 accounts citing once again, “inauthentic behavior.” Then, in mid November, a massive New York Times piece chronicled Facebook’s long road to not only save its image amid rising authoritarian behavior, but “to discredit activist protesters, in part by linking them to the liberal financier George Soros.” (I consistently find myself waiting for those Soros and Putin checks in the mail that just never appear.)

What we need is an open source, non-surveillance platform. And right now, that platform is Minds. Before you ask, I’m not being paid to write that.

In a $100 million lawsuit that has garnered virtually no public attention, five National Security Agency (NSA) whistleblowers are accusing the federal government of illegally retaliating against them for alerting the NSA and Congress to a waste of taxpayer funds that benefitted a well-connected contractor.The lawsuit tells the story of the infancy of the NSA’s efforts to surveil the Internet. Back then, there were two programs for the spying agency to choose from — and the first was called ThinThread. It had been developed internally, was comparatively inexpensive, had been tested and proven to be effective, and included safeguards preventing the spying on Americans without a court warrant. The other was called Trailblazer. It did not include such safeguards, had not yet been shown to be effective, and cost 1,000 times more than ThinThread. Instead of being developed internally, it was to be outsourced to Science Applications International Corporation (SAIC), a politically connected contractor.The NSA chose Trailblazer.

In response, four NSA employees who had worked on ThinThread, as well as a congressional staffer, alerted Congress and the Office of the Inspector General of the NSA that the agency was wasting taxpayer funds. That is when their troubles began, according to the lawsuit.It alleges that the defendants, which include the NSA, FBI, and the Department of Justice, as well as individuals associated with them, “knowingly and intentionally fabricated” a claim that the plaintiffs leaked classified information to New York Times reporters Eric Lichtblau and James Risen.“[The defendants] used this fabricated claim for retaliation, illegal searches and seizures, physical invasion of their residences and places of business, temporary false imprisonment, the confiscation of their property, cancellation of security clearances leading to the loss of their jobs and employment, intentional infliction of emotional distress, harassment and intimidation,” the lawsuit alleges.It also states that the defendants should have known that the plaintiffs were not the leaks because the NSA “was tracking all domestic telephone calls for the supposed purpose of protecting national security.”

The plaintiffs are former NSA employees Thomas Drake, Ed Loomis, J. Kirk Wiebe, William Binney, and former congressional staffer Diane Roark. They seek “punitive damages in excess of $100 million because of Defendants [sic] callous and reckless indifference and malicious acts …” as well as well as an additional $15 million for lost wages and to cover costs.Larry Klayman, the prominent conservative public interest attorney and founder of Judicial Watch, filed the suit on August 20th. However, it is expected to be amended this week, and it is possible that additional publicity for the case will be sought then.

WikiLeaks’ latest release in its Vault7 series details how the CIA’s alleged ‘Brutal Kangaroo’ program is being used to penetrate the most secure networks in the world.

Brutal Kangaroo, a tool suite for Microsoft Windows, targets closed air gapped networks by using thumb drives, according to WikiLeaks.Air gapping is a security measure employed on one or more computers to ensure that a secure computer network is physically isolated from unsecured networks.

These networks are used by financial institutions, military and intelligence agencies, the nuclear power industry, as well as even some advanced news networks to protect sources, according to La Repubblica journalist Stefania Maurizi.READ MORE: ‘CIA’s Cherry Bomb’: WikiLeaks #Vault7 reveals wireless network targetsThese newly released documents show how closed networks not connected to the internet can be compromised by this malware. However, the tool only works on machines with a Windows operating system.Firstly, an internet-connected computer within the targeted organization is infected with the malware. When a user inserts a USB stick into this computer, the thumbdrive itself is infected with a separate malware.Once this is inserted into a single computer on the air gapped network the infection jumps – like a kangaroo – across the entire system, enabling sabotage and data theft.RELEASE: CIA air-gap jumping virus 'Emotional Simian' https://t.co/KkBnXhNtGCpic.twitter.com/w6MZFGushc— WikiLeaks (@wikileaks) June 22, 2017If multiple computers on the closed network are under CIA control, they “form a covert network to coordinate tasks and data exchange,” according to Wikileaks.Data can be returned to the CIA once again, although this does depend on someone connecting the USB used on the closed network computer to an online device.