The company formerly known as Twitter introduced new “sensitivity settings” that allow advertisers to choose between different types of content filtering for their ads. X says it will use machine learning to reduce adjacency to varying levels of content according to a brand’s sensitivity threshold in an upcoming campaign.
With the new tool, X says it “will use machine learning to reduce adjacency to varying levels of content according to a brand’s sensitivity threshold in an upcoming campaign.” For now, the two settings available to advertisers include “conservative” and “standard.” The company notes that all rule-breaking content is meant to be excluded from ads regardless of what advertisers have opted into.
Under the most restrictive “conservative” setting, ads would be excluded from appearing near “targeted hate speech, sexual content, gratuitous gore, excessive profanity, obscenity, spam and drugs” in the “for You” timeline. The “standard” option would avoid the same topics, but allow spam and drug-related content, according to an example shared by X.
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