NYT is moving to using machine learning to moderate its (actually, pretty great) comment section. Big shift. Will they study it thoroughly?https://twitter.com/nytimes/status/874592901073956864 …
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Replying to @zeynep
First, public editor eliminated in favor of reader feedback. Now, reader feedback will be machine moderated. Will any NYT folks read them?
5 replies 13 retweets 26 likes -
Replying to @zeynep
Machine learning is becoming our gatekeeper in so many areas without clear cut answers with which to anchor these alien intelligence filters
4 replies 19 retweets 43 likes -
Replying to @zeynep
It's not they don't work; it's that they are different and these differences are—yet— barely understood. Happening so fast since it's cheap.
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Replying to @zeynep
But once you plop it as the gatekeeper so fast, hard to study it properly because the gatekeeping introduces feedback as people adjust.
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Replying to @zeynep
Shifting gatekeeping to machine learning is not a small change even if your model seems to replicate your training data well.
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Replying to @zeynep
At best, we are putting in systems that work-to-rule—ask any labor organizer why that can be the most potent form of strike.
2 replies 3 retweets 7 likes
We need to study this in many more ways; but the speed & logic that it's happening under isn't suited to that kind of research & reflection.
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Replying to @zeynep
Continuing, serious q: What would doing that research and reflection well look like? Are there guidelines?
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