SYSTEMS AND METHODS TO IDENTIFY OBJECTIONABLE CONTENT

摘要

Systems, methods, and non-transitory computer readable media configured to determine scores for content items published in an online environment based on at least one machine learning model trained with features associated with the content items. The scores can be associated with probabilities that the content items include objectionable material. A subset of the content items can be selected based on scores of the subset of the content items and satisfaction of a threshold value. It can be determined whether the subset of the content items includes objectionable material.

主权项

1. A computer-implemented method comprising:
determining, by a computing system, scores for content items published in an online environment based on at least one machine learning model trained with features associated with the content items, the scores associated with probabilities that the content items include objectionable material; selecting, by the computing system, a subset of the content items based on scores of the subset of the content items and satisfaction of a threshold value; and determining, by the computing system, whether the subset of the content items includes objectionable material.