In something that shocks no one:
Vorhies went on to clarify how these classifiers were trained by people with biases based on what they believed to be fake or misleading news. The classifiers allow Google to automatically filter out content they believe goes against the truth and their political narrative.
Vorhies added Google’s algorithm attached new negative stories about Trump onto old ones in order to keep them trending at the top of their search results longer. He concluded by exposing Google’s attempt to rewrite its’ operating code to prevent many in the U.S. from participating in the national discussion.
Fmr. Google Employee Reveals Company Changed News Algorithm To Target President Trump
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