A topic that just doesn't lend itself to such isolated statistical analyses. That's not how culture or politics operates. Take the 0.1% at face value. Example: What if that led reporters to amplify narratives which colored the whole election? (I think that happened in parts).https://twitter.com/NateSilver538/status/1074848968188796930 …
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Yep, there were specific incidents, but there was, I think, a lot of narrative-shaping power that was more diffuse but very potent to the trolling. And I think journalists were specifically targeted, and often fell for it.https://twitter.com/JodyShenn/status/1075837885541171200 …
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But if it isn't convenient to consider the plague, cholera, and the whole toxic stew, but only to focus the conversation on trace quantities of E. coli then it does seem awful selective.
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Nate puts dots on charts and very successfully weights their predictive accuracy. I’m not sure who told him that made his opinions relevant but it turned out to be a mistake.
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It definitely seemed, during the 2016 election, that *every* Twitter comment thread was polluted with what had to be troll accounts. Any attempt at "truth" or "clarification" or even "discussion" got drowned out by memes and lies and propaganda.
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I'm more sympathetic to your position, but is there a way to scientifically or statistically evaluate the interaction and tease out impact of trolls?
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In this scenario scientist would use actual data to determine what killed the patient. In your scenario your putting forth a hypothesis with no actual data. See the difference.
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