Twitch’s new ‘machine learning’ ban evasion detector will be switched on by default
The move comes in the wake of this year’s ongoing criticism of Twitch’s failure to shield streamers from “hate raids” and other harassment.
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This past July, Twitchadded a multitude of tagsto improve the discoverability of channels belonging to users of various identities, including trans, black, and disabled streamers. This also served as alightning rod for harassersto find and direct their hate against those communities. Particularly egregious were so-called “hate raids,” where automated accounts would flood chats with derogatory or violent speech.
Things came to a head on September 1st when a group of streamersstaged a “#DayOffTwitch"to protest Twitch’s inadequate response to the issue. Twitch responded with an option for streamers to requirephone number-based verificationto participate in their chats, and this seems to have mitigated the worst of the hate raids.
Twitch’slatest additionto its privacy and security tools will hopefully give streamers further options for moderation, specifically for dealing with problem individuals getting past bans by making alternate accounts. In its announcement on November 30, Twitch outlined a machine-learning system that attempts to detect such users.
Suspicious User Detection, powered by machine learning, is here to help you identify and restrict suspected channel ban evaders from chatting before they can disrupt your stream. Learn more here: https://t.co/01cCwnQZfw pic.twitter.com/QWVSnRPg1XNovember 30, 2021
On default settings, when such an account is detected participating in the chat their input is either marked in the channel or muted pending moderator action, depending on how likely the algorithm believes they are an unwanted user. Streamers are able to adjust how harsh that initial automatic response is, with the most extreme option being an automatic ban on suspicious accounts.
The announcement included a caveat about the program’s accuracy, elaborating:
“One thing to prepare for, particularly around launch, is that no machine learning will ever be 100% accurate, which means there is a possibility of false positives and false negatives. That’s why Suspicious User Detection doesn’t automatically ban all possible or likely evaders… The tool will learn from the actions you take and the accuracy of its predictions should improve over time as a result.”
I appreciate the tool’s modularity and how much control it offers someone when moderating their own channel. Twitch owes streamers at least this much given the extent to which it allowed the hate raiding issue to persist, as well as theawful copyrighted music situationand itsattendant purgeof old videos last October.
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Ted has been thinking about PC games and bothering anyone who would listen with his thoughts on them ever since he booted up his sister’s copy of Neverwinter Nights on the family computer. He is obsessed with all things CRPG and CRPG-adjacent, but has also covered esports, modding, and rare game collecting. When he’s not playing or writing about games, you can find Ted lifting weights on his back porch.
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