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These tools, combined with educational resources that keep streamers up to speed on their options, have made bot-based hate raids significantly more difficult for malicious users to conduct.
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She pointed to features that were rolled out during or after that time frame: proactive detection of bots - which she said was in the works even before hate raids began - phone verification for chat and suspicious user detection. Twitch took its share of knocks when hate raids were at their apex, but Hession feels like the platform is stronger for it. Unlike on YouTube - where the bulk of the business is in prerecorded videos that can be screened before uploading and deleted if need be - Twitch is a place where most of the damage from violent or otherwise rule-breaking footage is done the moment it happens. This, Hession and Lewington said, is crucial on a platform that, more so than any other, orbits around live content. "While we use technology, like any other service, to help tell us pro-actively what's going on in our service, we always keep a human in the loop of all our decisions," said Lewington, noting that in the past two years, Twitch has quadrupled the number of people it has on hand to respond to user reports. First and foremost, Hession and Lewington stressed that Twitch's approach to content moderation centres human beings while modern platforms like Twitch, YouTube and Facebook use a mixture of automation and human teams to sift through millions of uploads per day, Lewington said Twitch never relies solely on automated decision-making.