Author: Jay Peters
Illustration by Alex Castro / The Verge
Twitch is furthering its efforts to reduce harassment with a new tool that uses machine learning to detect people who may be attempting to evade bans. It’s the company’s latest addition to combat things like hate raids, where streamers’ chats are overrun with trolls sending hateful messages.
The new tool, called Suspicious User Detection, can identify users as “likely” or “possible” people who have evaded bans from a streamer’s channel. The machine learning model powering the tool identifies potential evaders by evaluating things such as their behavior and characteristics about their account and compares that information against accounts that have been banned from a streamer’s channel.
Messages from “likely” evaders won’t be sent to...
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Continue reading...
Illustration by Alex Castro / The Verge
Twitch is furthering its efforts to reduce harassment with a new tool that uses machine learning to detect people who may be attempting to evade bans. It’s the company’s latest addition to combat things like hate raids, where streamers’ chats are overrun with trolls sending hateful messages.
The new tool, called Suspicious User Detection, can identify users as “likely” or “possible” people who have evaded bans from a streamer’s channel. The machine learning model powering the tool identifies potential evaders by evaluating things such as their behavior and characteristics about their account and compares that information against accounts that have been banned from a streamer’s channel.
Messages from “likely” evaders won’t be sent to...
Continue reading…
Continue reading...