When it comes to brand safety, are humans or machines better at catching that fake news meme or NSFW video? At the moment, it’s safe to say that both are needed. At least that’s the consensus among the panelists at a Mobile World Congress breakfast this past week. The sheer number of images, videos and GIFs that are posted and shared online every day suggest that even an army of human fact-checkers and safety filters are just one part of the equation. As bad actors find ways to get past brand safety filters with slightly modified tags, search terms, and video titles, computer vision’s value in finding this epidemic of shapeshifting unsafe content rises. In this recap, publishers, agencies and brands weigh in.
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