Content moderation
How AI uses NLP to moderate text and multimedia content
Companies that use NLP for content moderation
User-generated content matters
Today community-based websites and apps offer tons of various content that is created, posted and viewed by millions of users on a daily basis. In 2019, Domo reported an estimate of 4.62 billion text and multimedia content (images, videos and voice stories) uploaded to major TV, mobile and social platforms worldwide.
All of that content can expose website owners, app developers and publishers to different problems, such as users sharing inappropriate content that can hurt one’s brand or infringe copyright. When marketers encourage users for posting their content online, they have to make sure that unique, great content stays, but none of the bad one slips through a crack.
Digital marketers need to ensure that every piece of user-generated content complies with their corporate policies and legal standards and that their communities are in safe and protected from inappropriate content.
NLP for marketers
AI enables businesses to moderate most types of content submitted by users through a website, mobile app or social channel. Whether users generate text, video, voice or graph content, AI uses natural language processing (NLP) algos to automatically detect, analyze and moderate every piece of the content in real-time, behind the scenes, allowing for seamless and reliable protection for brands and their communities.
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