MACHINE-LEARNING BASED DETECTION OF POLICY-VIOLATING INFORMATION IN CONTENT

Patent №

US 11,605,017

Granted

2023-03-14

Filed 2017

Owner

FACEBOOK, INC.

AI components

6

ml · nlp · vision · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15854745

For various content campaigns (or content), an online system generates a score indicating a likelihood of the content item having deceptive information, such as including a picture or name of a celebrity to promote something that the celebrity has not actually endorsed. The online system receives a request to determine whether a content item comprises deceptive information. The online system extracts features from the content item, and provides the extracted features to a machine learning based model configured to generate score indicating whether a content item comprises deceptive information. The online system executes the machine learning based model to generate the score for the content item. Responsive to the generated score indicating that content item comprises deceptive information, the online system verifies whether the content item conforms to content policies.

Machine learningNatural languageVisionSpeechKnowledge representationAI hardwareG06N 20/00H04L 67/535G06N 5/022G06V 40/40H04L 67/52G06N 3/084G06V 40/168G06V 40/172+1 more

AI classification

Machine learning1.00
Vision1.00
Natural language1.00
AI hardware0.99
Knowledge representation0.94
Speech0.72
Planning0.39
Evolutionary computation0.02

Ownership

FACEBOOK, INC.

assignment · 446310001

Assignors

MU, YANG, RAJARAM, GIRIDHAR, OLMEDILLA DE LA CALLE, DANIEL

On an employer assignment, the assignors are typically the inventors.

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