smyte.

Case Study

“Smyte has delivered on protecting teenage users of our social app from bullying, profanity, scams and spam. They took the time to get to know our team, users, and data, and they innovated quickly to get the results we wanted but weren't sure we could get. I recommend them for trust and safety for social networks.”

Matt Ivester
CEO, Reveal

Use Case

Cyberbullying

Reveal is a social network that allows users to ask questions and answer via photo or video. Reveal uses the cryptocurrency Reveal coin to encourage users to interact with one another.

Challenges Reveal Faced

Social networking and user generated content can have pitfalls for teens, the majority user demographic at Reveal. It can be difficult and time consuming for site moderators to identify and block every single instance of abuse and sexual content on their app. Some stats:
  • Half of teens have been bullied online.
  • Children need protection from inappropriate content.
  • 70% of new social media profiles are spam.

Solutions with Smyte

Smyte took on the challenge of protecting Reveal's teen users from harassment, profanity, spam and scams.
  • We learned about the users from the people who know them best: Reveal’s moderators.
  • Among other things, our NLP models detected profane, violent and sexual content and specified to what degree (mild, medium, or strong).
  • We wrote and configured custom rules, models and review UIs tailored to Reveal's specific use cases.
  • Smyte keeps learning to detect new types of anomalies in user generated content and adjust accordingly.
  • We delivered synchronous verdicts in under a second.
  • Reveal not only achieved its targets with blocking harassment, profanity and abuse, but also landed an unexpected windfall in reducing manual review.

Use Case

Social network spam

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Use Case

Cyberbullying

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Use Case

P2P fraud

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