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TikTok is rolling out a new age-detection system in the EU

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The pressure is mounting on social media companies to enforce their rules and protect children on the platforms. Australia recently instituted a ban on children under the age of 16 from social media platforms. Gaming platforms like Roblox are now using facial recognition technology to prevent kids from interacting with adults in chats.

And now TikTok, the social media platform well known for its popularity with young people, will be rolling out its own age verification system in Europe to detect underage users on its site, according to a Reuters report.

TikTok's age-detection system analyzes a user's profile information, published videos, and behavioral signs to estimate if a user is under the age of 13. Per TikTok policy, users must be at least 13 to sign up for the platform. Once the age detect system flags an account, the user will be reviewed by specialist moderators. User accounts will not be banned automatically.

TikTok told Reuters the age-detection system will be rolled out across Europe in the coming weeks after testing the program in Britain for the past year. The system was specifically designed to comply with European regulatory requirements.

EU regulators have been pushing for social media platforms to act on child safety issues, including ensuring users are of the minimum age required for a platform. The European Parliament is looking into potentially instituting a social media ban similar to the one in Australia for children under the age of 15.

As Mashable covered earlier this week, some online platforms are discovering the difficulties with online age verification. Roblox users, for example, have been uncovering simple workarounds to the platform's age verification, which involved simply uploading animated avatars or even drawing facial hair on their image with a Sharpie.

TikTok's method is bound to pick up some false positives on users who are over 13 but mistakenly get flagged or even removed for being underage. We'll have to see just how accurate it is, and how many disgruntled users it leaves in its path once it rolls out more broadly.



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