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.
Corporate media journalists have failed you.
— The Absolute Truth with Emerald Robinson (@AbsoluteWithE) January 27, 2023
When it comes to fact-finding, one anonymous Twitter account is doing his due diligence to expose the intel community infiltrating Big Tech.@NameRedacted247 joined @EmeraldRobinson to break down his viral Twitter threads. pic.twitter.com/1bnIzEclsf
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.
***BEST NEWS HERE ON TELEGRAM!***JOIN OUR CHANNEL
-https://t.me/BestNewsHere#13 YouTube CEO Susan Wojcicki described how Google uses "machine learning" and "classifiers" to bury "trashy news" and promote "authoritative news."
— kanekoa.substack.com (@KanekoaTheGreat) January 30, 2023
Machine learning is when algorithms are fed real-world information and learn to make decisions based on the patterns they find. pic.twitter.com/E28q5leaEO#11 In 2019, Project Veritas released footage of Google executive, Jen Gennai, discussing “preventing the next Donald Trump situation.”
— kanekoa.substack.com (@KanekoaTheGreat) January 30, 2023
She remarked, “We’re also training our algorithms, like, if 2016 happened again, would we have, would the outcome be different?” pic.twitter.com/4SnvqnyIx3#14 What were these classifiers?
— kanekoa.substack.com (@KanekoaTheGreat) January 30, 2023
Here's a leaked document, "Fringe ranking/classifier."
Google ranked ABC, CBS, and CNN as more “authoritative” than the “trashy” Fox News and Breitbart.
This is how Big Tech manually interjects political bias into search results and algorithms. pic.twitter.com/rb2EO5FkJyTHREAD🚨 #GoogleLeaks #TwitterFiles
— kanekoa.substack.com (@KanekoaTheGreat) January 30, 2023
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.
These are the type of source documents @elonmusk should release. pic.twitter.com/rTracvjS9rRead More: https://amg-news.com/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/
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