Sunday, May 11
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    BOOOM! GOOGLE LEAKS THREAD: Leaked Internal Google Documents Show Collusion to Suppress “Right Wing” News and Information and Partnership With Clinton Campaign During 2016 Election

    Medeea GreereBy No Comments2 Mins Read

    BOOOM! GOOGLE LEAKS THREAD: Leaked Internal Google Documents Show Collusion to Suppress “Right Wing” News and Information and Partnership With Clinton Campaign During 2016 Election

    Medeea Greere, an independent publisher, is now on Telegram at https://t.me/AMGNEWS2022 and exists only on reader support as we publish Truth, Freedom and Love for public awareness. Thank You for your support!

    The morning after the [2016] election, [Google] employees cried, lost their minds, and planned their resistance.

    Google’s war on information and accuracy began in the run up to the 2008 election – Obama. Anything critical of Obama was pushed down the search results or scrubbed.

    In 2008, Geller Report (then Atlas Shrugs) began reporting on Google’s systematic attack on truth and accuracy. We were shadowbanned (or as I then called it sandboxed) in 2008 with the Obama birth certificate scandal.

    The response back then to Google bans and censorship healthy – it was vigorous and loud. And Google was forced to respond. We were, in large part, shouting into the void. No one stopped them. Few on the right thought it was an existential threat.

    They spent the next decade perfecting it. But it was was the election of Donald J. Trump that proved to be the tipping point for left wing giant’s take down of American freedom.

    In 2019, 950 pages of Google’s internal documents leaked, providing evidence of Google’s use of blacklists and machine learning algorithms to censor conservatives and populists.

    In 2019, 950 pages of Google’s internal documents leaked, providing evidence of Google’s use of blacklists and machine learning algorithms to censor conservatives and populists.

    YouTube CEO Susan Wojcicki described how Google uses “machine learning” and “classifiers” to bury “trashy news” and promote “authoritative news.” Machine learning is when algorithms are fed real-world information and learn to make decisions based on the patterns they find.

    Many of the concepts that his research pioneered are used by Twitter to subconsciously swing election results.

    Google receives 5.6 billion daily searches, controlling 90% of global search traffic.

    YouTube has 2.3 billion users.

    Our beliefs are inseparably linked to search results, but Google is a biased source of information, and the tech platform actively manipulates what we see.

    https://twitter.com/KanekoaTheGreat/status/1620195663580626945?s=20&t=loG9Ilr7uV5c8Y9Wu7xkEA

     

     

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