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Twitch Battles Ban Evasion using Machine Learning

  • Jeffery Williams
  • December 3, 2021
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Twitch is the world’s leading video game broadcasting service and now it has banned users who evade bans. This announcement was made through a blog post on their website
able to answer any questions or concerns regarding Twitch battle bans in an effort to make gaming more fair for all players.

Hate raids and ban evasion have been a problem for Twitch broadcasters lately. Twitch debuted a verified chat in September, requiring viewers to confirm their identity by phone or email before chatting. This was put in place to help keep hatred and harassment off the airwaves. This has only made a little difference, and Twitch has admitted that they still need to do more to guarantee that everyone is protected.

There’s been a lot of talk about botting, hate raids, and other types of abuse directed against disadvantaged producers. You’re urging us to improve, and we recognize that we need to do more to solve these problems. This involves an open and continuous conversation about the safety of creators.

August 11, 2021 — Twitch (@Twitch) Twitch has a policy against harassment.

Twitch has realized the need of implementing suspicious user detection. This is a tool designed to assist creators and moderators in catching people who are trying to circumvent channel bans.

When a user is banned, the firm feels that they should be barred permanently. They’ve observed that there’s been a problem with ban evasion, and they’ve been working hard to solve it. ‘Bad actors often prefer to establish new accounts, hop back into chat, and continue their aggressive conduct,’ according to Twitch. They’ve created Suspicious User Detection, which uses machine learning to detect suspicious individuals based on a variety of indicators.

‘If you ban someone from your channel, they should be permanently banned from your community.’

– Twitch

Suspicious User Detection will recognize and evaluate these signals before flagging the account as suspicious. Channel ban evaders will be labeled as ‘likely’ or ‘possible,’ enabling you to take action.

What method will be used to identify the accounts?

Messages will not display in chat for potential ban evaders. Messages sent will, however, be accessible to authors and moderators. They will have the option of removing the restriction and monitoring the user, or removing the person from the channel entirely.

Ban evaders who are ‘possible’ will be allowed to talk normally. They will, however, be reported to the creator and moderators. This enables them to keep an eye on the user before choosing whether or not they need to limit them.

You may alter the parameters for both groups if you want to be extra careful. You may, for example, prevent both probable and prospective ban evaders from entering the conversation. The moderating settings page also allows you to turn off the feature completely. Manually adding users to monitor is also available, either via the suspicious user’s widget in Mod View or by clicking the user’s viewer card.

Is it possible that this will put a stop to ban evasion?

There is no such thing as a machine that is 100 percent accurate. There’ll be a chance of false positives and negatives, especially towards the debut date. ‘When it comes to your community, you’re the expert,’ according to Twitch. As a result, not all probable or likely evaders are promptly banned when a suspicious user is detected. The tool will learn from your activities, as with any machine learning technologies. Over time, this will enhance the accuracy of its forecasts.

[picture for the header]

When she’s not paying off her racoon debt, you’ll find her photographing her puppy. She buys an excessive number of video games (which she says she’ll finish one day).

She/Her.

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Jeffery Williams

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