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Google manipulates search results for mass social engineering

A few days ago Project Veritas released some videos and internal documents from Google showing exactly how Google is manipulating the public in what can only be described as a mass social engineering effort. You can hear employees from Google, who were apparently recorded without their knowledge, describe what they are doing and why. They are actively manipulating their search algorithms and suppressing content that they don’t want the public to see. Certain journalists and content creators on their platforms and elsewhere are also specifically being targeted for censorship.

They are going so far as to employ artificial intelligence (machine learning) to manipulate information, and therefore thought, on a large scale:

Google: Artificial Intelligence Is For A “fair and equitable” State

According to the insider, Machine Learning Fairness is one of the many tools Google uses to promote a political agenda.  Documents leaked by a Google informant elaborate on Machine Learning Fairness and the “algorithmic unfairness” that AI product intervention aims to solve. […] The insider showed Google search examples that show Machine Learning Fairness in action.

“The reason we launched our A.I. principles is because people were not putting that line in the sand, that they were not saying what’s fair and what’s equitable so we’re like, well we are a big company, we’re going to say it.” – Jen Gennai, Head Of Responsible Innovation, Google

The Google insider explained the impact of artificial intelligence and Machine Learning Fairness. “They’re going to redefine a reality based on what they think is fair and based upon what they want, and what and is part of their agenda.”

Determining credible news and an editorial agenda…

Additional leaked documents detail how Google defines and prioritizes content from different news publishers and how its products feature that content. One document, called the “Fake News-letter” explains Google’s goal to have a “single point of truth” across their products.

Internal Google Document: “People Like Us Are Programmed”

An additional document Project Veritas obtained, titled “Fair is Not the Default” says “People (like us) are programmed” after the results of machine learning fairness.  The document describes how “unconscious bias” and algorithms interact.

This is of course in addition to banning websites completely from their search results, as they did with Natural News in 2017, so that people only see a version of reality that Google wants them to see.

All of this is similar to what other companies in Silicon Valley are doing, such as Facebook, as revealed by an insider a few months ago.

Shortly after Project Veritas published the above information, Google took down their video on YouTube:

Google’s video platform YouTube is apparently no place for content that accuses the tech giant of political bias and election meddling. An expose based on a sting operation was taken down by the company a day after its release.

The online behemoth found itself in the crosshairs of Project Veritas, a conservative action group that purports to expose pro-liberal biases at various American organizations through sting operations and by publishing leaked material. Its report on Monday claimed that Google deliberately tweaks its search algorithms to promote liberal agendas that it favors, and that this is intended to help “prevent the next Trump situation” in the upcoming elections.

YouTube, the world’s most popular video sharing platform, which is owned by Google, soon took down the videos that were uploaded by Project Veritas, its head James O’Keefe reported. The footage was removed “due to a privacy claim by a third party,” a message now tells anyone trying to view it.

The video has since been reuploaded on other platforms such as BitChute and Vimeo, and Project Veritas updated their article with new links.

Now is a good time to get yourself familiar with alternative search engines like DuckDuckGo, and start to rely less on any Google services that you’re using.


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