Handling Fast-Moving Interactions: Custom Moderation for Wizz’s Gen Z-First App

by ExchangeWire PressBox on 19th May 2026 in News

Wizz App is a social discovery platform for Gen Z users seeking real connections through chat, casual games, and friend-finding features.

As the platform rapidly scaled to 16M+ users, maintaining a safe environment became critical. In a context where communication trends evolve quickly, the challenge was to moderate high volumes of real-time conversations while preserving fluid and authentic interactions.

At the end of 2024, Wizz App partnered with Bodyguard to strengthen its moderation capabilities and better handle a growing complexity: distinguishing genuine threats from slang, sarcasm, and the shorthand Gen Z actually uses.

A Gen Z-first platform

A Gen Z-first platform, Wizz App's core audience is made up of 17–24 year olds. To manage safety across age groups, the platform enforces strict age segmentation, ensuring users in younger age brackets and adults interact in separate environments with different levels of risk and moderation requirements.

Operating at scale

3M+ monthly active users
100 % Gen Z
810M+ messages exchanged each month

Complex conversations at scale

Wizz App connects young people in real time, where harmful content can surface and spread quickly. Moderating at this scale means handling a high volume and variety of messages across different age groups, each requiring context-aware review.

In this context, traditional moderation approaches based on keywords struggle to keep up since these generic moderation tools were not built for the nuances of how Gen Z communicates. Generic approaches fail to distinguish between age-appropriate banter and genuine harassment, and do not reliably detect more complex risks such as off-platform solicitation or the sharing of sensitive information.

Context-aware moderation

Wizz App was looking for a moderation partner capable of building models tailored to its platform, rather than relying on generic tools. This meant adapting to its language, user base, and risk profile, while operating at scale and continuously refining classifications based on real moderation feedback.

Working with Wizz App, Bodyguard adapted its existing and already extensive classification framework to the platform’s specific needs, extending it to better cover the wide range of behaviors observed, from harassment to the sharing of sensitive information. The system is both age-adaptive and context-aware: it evaluates the severity of each message, identifies the intended recipient, and adjusts decisions based on the context of interactions. Critically, all of this happens before a message is delivered, and harmful content is intercepted in real time, so users never see it.

This approach is reinforced by a continuous feedback loop, where real-time moderation inputs from Wizz App teams help refine the models over time, improving performance as new behaviors and risks emerge.

Results

51% reduction in toxic messages over one year
+47% increase in recurring users
86% of users report feeling safe meeting people online

Conclusion

With Bodyguard, Wizz App is able to moderate high volumes of real-time interactions across diverse age groups, using context-aware models to better detect complex risks such as off-platform spam while maintaining a fluid user experience.

Fully aligned with Wizz Apps' safety-first approach, the solution integrates into a broader strategy where trust and safety are central, representing a significant share of the platform’s operational focus and investment.

"Most moderation tools are built for adult social networks and apply broad category filters. Bodyguard worked with us to build something calibrated to Wizz App, adapted to our user demographics and the specific risks that come with connecting younger users." – Alexandra Ryabova, head of operations at Wizz App

For more information contact: Mila Che, Media Contact, Wizz App, +1 718-928-8517