zlacker

[parent] [thread] 2 comments
1. pg+(OP)[view] [source] 2011-04-03 20:42:28
Unfortunately I know that won't work because I've already tried that experiment. For about a year I've been annotating such comments, but when I analyzed who upvoted them, the upvotes were very broadly distributed.
replies(1): >>goodsi+01
2. goodsi+01[view] [source] 2011-04-03 20:55:43
>>pg+(OP)
Would it be possible to make public a data set of heavily up-voted comments that suck and challenge the community to come up with algorithms that can predict whether a given popular comment sucks or not? I'd think you could get a fair amount of mileage just by measuring frequencies of certain technical noun phrases.

I paused for a second at the privacy implications of this, but honestly all comments are submitted here with the assumption that they will forever be visible and subject to moderation or critique.

replies(1): >>joshfr+m5
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3. joshfr+m5[view] [source] [discussion] 2011-04-03 22:02:08
>>goodsi+01
Even the best of us have been tempted to toss out a snarky comment or mean response from time to time. There are comments I've made that I wouldn't have posted if I had been challenged to improve it before posting. Since there seems to be a correlation between one sentence comments and snark, perhaps a "Are you sure you want to post that?" prompt would help for short comments. Maybe show the same prompt for comments that contain certain words?
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