This feels to me like a very difficult but tractable design problem
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One thing that's interesting is that the difference between something that *just feels* like snipey one-upsmanship vs. a productive "yes, and" is subtle. "Hmm. There is also..." vs. "Yes! I also notice..." or even subtler, "Note that..." vs. "Isn't it crazy how...?"
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I wonder how NLP sentiment work varies from transcribed in-person conversations to discussions online. I don't think the same tags ("yes," "hmm," "note that," etc.) work quite the same way across contexts
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Part of it is probably just that all the layers of in-person interaction (content + tone + body language, etc.) plus the richness of in-person relationship history means that there are a lot of kinds of nuance that are both less present and sometimes *forced to collapse* in text
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I mean, I *know* that people have been talking about how easy it is to misinterpret intent from text for ages... but I also think we've possibly been trained by way of low-resolution text tools to *start* with less emotional range when we're dealing with Internet People.
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I think this is because Twitter is the lineal descendant of the MSN Messenger status, and you're not really supposed to reply to someone's MSN status by explaining how it could be made *even better*. Reddit's lineage is forums and usenet, where it's almost obligatory.pic.twitter.com/NCGhbj6P2S
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I wonder if this is correlated to speed of re-engagement (speech > chat > twitter > forum post). More people have the opportunity to respond at slower speeds between conversation "beats".
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Mason you are totally brilliant and love that you are noticing this and it’s nuance as a thing, and it’s implications systemically.
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Think you answered your own question. Advice I hear passed around by social media managers all too often: "Be controversial, try to piss people off. The number of replies is all that matters."
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