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I wonder if you could not feed, e.g. reddit comments and identify long chains of respectful conversations for instance.

It could also be a useful moderation tool by pointing out who first started to troll and devolved a conversation into a fece flinging contest.

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You may want to train it on some new data then. The data CoreNLP comes trained with is basically yelp review type of stuff, so people talking about a product. Seems to work fine for people talking about other people too. But I think you will get much better results if you train it to actually detect trolls.

Try to predict karma scores then?

Maybe set up a crowdfund to make the internet's first troll content training corpus.

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