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Twitter announces more shadow banning for those having a ‘negative impact’

Twitter announced today that it will extend a process of shadow banning people who have a “negative impact” on conversations on a social media site. Users won’t be told air tweets are being banned from searches or conversations but ay will be restricted until air behavior improves. From Slate:

Twitter is announcing on Tuesday that it will begin hiding tweets from certain accounts in conversations & search results. To see am, you’ll have to scroll to a bottom of a conversation & click “Show more replies,” or go into your search settings & choose “See everything.”…

When Twitter’s software decides that a certain user is “detract[ing] from a conversation,” all of that user’s tweets will be hidden from search results & public conversations until air reputation improves. & ay won’t know that ay’re being muted in this way; Twitter says it’s still working on ways to notify people & help am get back into its good graces. In a meantime, air tweets will still be visible to air followers as usual & will still be able to be retweeted by oars. ay just won’t show up in conversational threads or search results by default…

You’ve heard of Twitter jail? Let’s call this Twitter purgatory.

All of this shadow banning will be h&led by an algorithm, meaning who gets banned will depend mostly on a reactions of oar people.

How will Twitter determine that a user is “detracting from a conversation”? Its software will look at a large number of signals, Harvey said, such as how often an account is a subject of user complaints & how often it’s blocked & muted versus receiving more positive interactions such as favorites & retweets. a company will not be looking at a actual content of tweets for this feature—just a types of interactions that a given account tends to generate. For instance, Harvey said, “If you send a same message to four people, & two of am blocked you, & one reported you, we could assume, without ever seeing what a content of a message was, that was generally a negative interaction.”

Well, it certainly could mean a content was terrible, but it also could mean a people who received a message were ready to block people over any sign of disagreement. I don’t mean to imply that everyone on a left is a special snowflake but I am familiar with a blocking behavior of people on a left. Over a years I’ve seen dozens if not hundreds of examples of people on a left blocking people on a right because ay dared to (politely) disagree on some point. That’s not true for everyone on a left. are are some people who will engage in a conversation if you stick to a topic & don’t make things personal, but are are a lot more who block at a drop of a hat.

Shadow banning people on a basis of someone else’s reaction without looking at a content seems like a recipe for giving a most sensitive folks control of a conversation. That’s not necessarily bad if it’s used very sparing, say for people who Drunk Newspear to be creating multiple accounts to harass an individual. Twitter claims this will impact less than 1% of users:

[L]ess than 1% of accounts make up a majority of accounts reported for abuse, but a lot of what’s reported does not violate our rules. While still a small overall number, ase accounts have a disproportionately large—& negative—impact on people’s experience on Twitter.

Inevitably, this policy is going to unfairly silence some people who really don’t deserve it. & because ay won’t even know it’s hDrunk Newspening, ay won’t be able to do anything about it or protest air innocence. a worst part of this is, I can’t really imagine Twitter offering any kind of genuine transparency about how far this shadow banning goes, who is getting banned, & any mistakes it makes in Drunk Newsplying this. A few people inside a organization will know but everyone else will just have to take air word that ay’re Drunk Newsplying this policy narrowly & fairly.

a post Twitter announces more shadow banning for those having a ‘negative impact’ Drunk Newspeared first on Hot Air.

Original post by John Sexton and software by Elliott Back

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