Governments clamp down on Politically ‘Dangerous’ Speech & ‘Hate’ Speech while Facebook’s AI which helps spread them can’t be fixed

Ireland is introducing “hate speech” laws. “Hate speech” laws are not simply censorship. Their deeper purpose is to terminate equality under the law, so the normative indigenous members of a nation are made to feel like an alien underclass.

The US Department of Homeland Security (“DHS”) is broadening its efforts to curb “dangerous speech” – misinformation, disinformation, and malinformation.

Meanwhile, Facebook’s artificial intelligence (“AI”) algorithms have given it an insatiable habit for “lies and hate speech.” But the man who built them can’t fix the problem.

One of the latest, and perhaps most disturbing, new frontiers of censorship is the escalating means of excluding citizens from the financial system as extra-judicial punishment for expressing views or engaging in political activism disapproved of by establishment power.

The Exposé has been a victim of this latest new frontier of censorship. A week ago, for the third time this year, The Exposé’s account was frozen and the donations in the account have been “temporarily” blocked. Read more HERE. Support the Expose HERE .

How Facebook Got Addicted to Spreading Misinformation

The company’s AI algorithms gave it an insatiable habit for lies and hate speech. Now the man who built them can’t fix the problem.

[Note: read the article to understand what the author means by “lies” and “hate speech.”]

When the Cambridge Analytica scandal broke in March 2018, it would kick off Facebook’s largest publicity crisis to date. It compounded fears that the algorithms that determine what people see were amplifying fake news and hate speech, and prompted the company to start a team with a directive that was a little vague: to examine the societal impact of the company’s algorithms.

Joaquin Quiñonero Candela was a natural pick to head it up. In his six years at Facebook, he’d created some of the first algorithms for targeting users with content precisely tailored to their interests, and then he’d diffused those algorithms across the company. Now his mandate would be to make them less harmful. However, his hands were tied, and the drive to make money came first.