Case Study: Frog Social achieves safe real-time chat moderation with Utopia Analytics AI Moderator

A Utopia Analytics Case Study

Preview of the Frog Social Case Study

AI moderation to protect young chat users from bullying and toxic behavior

Frog Social, a social networking app for children and teenagers, needed to protect its young users from bullying and toxic behavior in real-time chat. Their existing rule-based filters were insufficient as users bypassed them with slang and symbols, and their human moderation team was overwhelmed by rapid growth. To proactively ensure a safe environment, they sought a new solution and partnered with vendor Utopia Analytics to implement their Utopia AI Moderator service.

Utopia Analytics developed a tailored AI model for Frog Social, which was trained and deployed in a matter of weeks. The solution effectively identifies inappropriate content, including tricky cases with special characters and personally identifiable information, with 99.6% accuracy. This has drastically reduced the moderation team's workload by autonomously handling nearly all messages, allowing Frog Social to successfully maintain a safe platform for its users.


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Frog Social

Vanessa

Chief Operations Officer


Utopia Analytics

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