User-generated content (UGC) grows exponentially, as well as the requirements and the cost to keep content and online communities safe and compliant. Modern web and mobile platforms fuel businesses and drive user engagement through social features, from startups to large organizations. Online community members expect safe and inclusive experiences where they can freely consume and contribute images, videos, text, and audio. The ever-increasing volume, variety, and complexity of UGC make traditional human moderation workflows challenging to scale to protect users. These limitations force customers into inefficient, expensive, and reactive mitigation processes that carry an unnecessary risk for users and the business. The result is a poor, harmful, and non-inclusive community experience that disengages users, negatively impacting community, and business objectives.
The solution is scalable content moderation workflows that rely on artificial intelligence (AI), machine learning (ML), deep learning (DL), and natural language processing (NLP) technologies. These constructs translate, transcribe, recognize,

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