Google Experiments With “Faster and More Adaptable” Censorship of “Harmful” Content Ahead of 2024 US ElectionsIn the run-up to the 2020 US presidential election, Big Tech engaged in unprecedented levels of election censorship, most notably by censoring the New York Post’s bombshell Hunter Biden laptop story just a few weeks before voters went to the polls.
And with the 2024 US presidential election less than a year away, both Google and its video-sharing platform, YouTube, have confirmed that they plan to censor content they deem to be “harmful” in the run-up to the election.
In its announcement, Google noted that it already censors content that it deems to be “manipulated media” or “hate and harassment” — two broad, subjective terms that have been used by tech giants to justify mass censorship.
However, ahead of 2024, the tech giant has started using large language models (LLMs) to experiment with “building faster and more adaptable” censorship systems that will allow it to “take action even more quickly when new threats emerge.”
Google will also be censoring election-related responses in Bard (its generative AI chatbot) and Search Generative Experience (its generative AI search results).
In addition to these censorship measures, Google will be continuing its long-standing practice of artificially boosting content that it deems to be “authoritative” in Google Search and Google News. While this tactic doesn’t result in the removal of content, it can result in disfavored narratives being suppressed and drowned out by these so-called authoritative sources, which are mostly pre-selected legacy media outlets.
https://www.infowars.com/posts/google-experiments-with-faster-and-more-adaptable-censorship-of-harmful-content-ahead-of-2024-us-elections/
