Twitch on Tuesday announced the introduction of a system to detect malicious users who create new anonymous accounts to return to channels that have banned them.

The phenomenon is problematic and creates a lot of cyberstalking.

The video game platform has struggled for a few months to stem the wave of racist and homophobic harassment against certain content creators.

Non-white people or the LGBT + community are particularly victims of online “hate raids”.

Suspicious user detection, powered by machine learning, helps you identify accounts that are suspected of bypassing a ban and prevent them from sending messages before they can disrupt your stream.



More info: https://t.co/Rrreb8mAWT pic.twitter.com/HfICP3gij2

- Twitch FR (@TwitchFR) December 1, 2021

Hidden messages

Stalkers come into victims' chats and flood the exchanges with insults or shocking images.

If the creator bans them, some come back by creating a new account.

Dubbed Suspicious User Detection, the new tool "is here to help you identify those users based on certain signals" to help creators "take action," Twitch said.

The program created with

machine learning will

 distinguish between “probable” and “possible” fraudsters.

In the first case, their messages will not appear in public, only the player and his moderators will see them.

It is up to them to then decide to monitor them or ban them.

Two users sued

“No machine learning system is 100% reliable,” Twitch specifies, “This is why [the tool] does not automatically ban all potential fraudsters.

The platform, which belongs to Amazon, claims to receive more than 30 million visitors per day.

Last August, players mobilized to call on society to react to the raids.

Twitch launched new tools and filed a lawsuit against two users.

These two people manage multiple accounts under different identities on the platform and are able to "generate thousands of bots in a few minutes" in order to harass their victims.

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  • High-Tech

  • Cyber ​​harassment

  • Bullying

  • Video games

  • Twitch

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