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Sampling content using machine learning to identify low-quality content - US-9959412-B2

More about the patent "Sampling content using machine learning to identify low-quality content "
ID: US-9959412-B2

Danger Rate by editors: 86
Flagged by participants: 1


Assignee: Facebook, Inc.

Inventors: Emanuel Alexandre Strauss, John Spencer Beecher-Deighan, Daniel Olmedilla de la Calle

Class: G06N99/005

Tags: Learning Machines; Personalized User Data.

Filing: 2016-03-11

Priority: 2016-03-11

Publication: 2018-05-01

Granted: 2018-05-01


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Sampling content using machine learning to identify low-quality content - US-9959412-B2

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SOCIALITY AIMS TO EXPLOIT INTELLECTUAL PROPERTY LAWS FOR MONITORING AND REGULATING HAZARDOUS INFORMATION TECHNOLOGY. AS AN ARTISTIC PROVOCATION, IT PROPOSES THE DEMOCRATIC BANNING OF SOCIALLY HARMFUL INVENTIONS THAT EMPLOY DEVIOUS PSYCHOLOGICAL AND PROFILING TACTICS THROUGH ARTIFICIAL INTELLIGENCE, ALGORITHMS, DATA MINING, SOCIAL MEDIA, USER INTERFACES AND TRACKING, IN FAVOR OF A MORE ETHICAL USE OF TECHNOLOGY.
This is a socially engaged Internet artwork by Paolo Cirio.