If we stripped the names and presented just the content to naive people, do you really think she would come off as the least angry?
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Wut? I wasn’t thinking this would be an actual published study. If you just throw some screenshots of the tweets together, it should take less than a day
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The languages I mentioned are just used to collect the data.
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I'm sure nobody means to but to assume what we do to (I'm lucky enough to not have to do it myself) to collect data in psych is easy is kind of offensive.
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I am a psychologist. It really is easy to collect data. There are free survey platforms that can handle this. No programming needed
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The screenshots won't make good stimuli since they are going to induce context collapse IMHO.
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I guess it all depends what point what you are testing. But if you want to show somebody (a single person, not a population level inference) is sexist you need more than a few Tweet screenshots to chuck to some Mturkers.
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Also the fact that you want to run a test to check if somebody is sexist makes me think you have a strange prior for how likely somebody (a white dude in science) is sexist? You can use Occam's razor here instead of run some essentially pointless experiment.

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Another issue is wiping the names off might not be enough to hide gender. As gender might be predictable from content of tweet: http://u.cs.biu.ac.il/~koppel/papers/male-female-text-final.pdf …
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OK, I just realised maybe nobody here is a psychologist. This study has probably been done, just obviously not with these exact stimuli.

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There are definitely studies which show the same sentences attributed to a woman are more likely to lead to accusations of "being emotional" than when attributed to a man, I think the idea was that a tenner and an afternoon was worth it to prove someone wrong on the internet :P
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It might be funny sure but not sure you would get data that actually showed what you wanted!
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