Facebook is stepping up its efforts to prevent discriminatory advertising with the introduction of a two - step process . First is an attempt to " warn " advertisers not to create content that is based on age , race , religion , sexual orientation and many other factors . This can be supported by the use of machine learning that flags ads for credit , housing or jobs , with ads meeting the new requirements rejected . Critics have argued asking the advertisers to police their own content is " lazy " .
Facebook is stepping up its efforts to prevent discriminatory advertising with the introduction of a two-step process. First is an attempt to "educate" advertisers not to create content that discriminates based on age, colour, religion, sexual orientation and many other categories. This will be supported by the use of machine learning that flags ads for credit, housing or jobs, with thosenot meeting the new requirements rejected. Critics have argued asking the advertisers to police their own content is "lazy".