there is already an uncritical commitment to free speech. That's part of the problem. They fetishize it without grokking it.
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Replying to @vgr
A properly designed Twitter wouldn't have anyone sitting at HQ trying to figure out which accounts to ban and which ones to leave alone
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Replying to @naval
there we agree. PeopleRank or suchlike with sock puppet detection via machine learning for whack-a-mole trolls
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Replying to @vgr
It would need to be personalized to each user, not a global list. One man's terrorist is another's revolutionary.
2 replies 0 retweets 15 likes -
Replying to @naval
I'm skeptical of 99.99% of 'free speech' derping. 0.001% is courageous speech under threat. Rest is "waah, she bit back" crybabies
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Replying to @vgr
This is where we part ways. Introduce subjectivity in speech policing, and it's just another walled ghetto.
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Replying to @naval
there is always subjectivity; only diff is whether it's algo designer thinking of use cases or operations person thinking live cases
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Replying to @vgr
Different model - you can reject global filters and let each user / group define and share their own. Web of trust solutions. They work
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I've designed two in the past. It's how every well managed social network is run.
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The subjectivity comes from the communities, not from a central dictator.
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Medium=message. Your protocols for individuals/groups to express preferences will always contain subjective elements. No free lunch.
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Replying to @vgr
sure, in that sense there's always subjectivity. But now we're splitting hairs.
0 replies 0 retweets 3 likesThanks. Twitter will use this to make your timeline better. UndoUndo
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if they re-opened the Dev ecosystem both approaches could be experimented with (and more) to find one that worked best.
0 replies 0 retweets 0 likesThanks. Twitter will use this to make your timeline better. UndoUndo
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