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hi im victor im going to talk about joint work with donnie schritter and dave bly on adapting text embedded methods for causal inference okay so heres a motivating example uh illustrating the broad approach so in this example theres some outcome that were interested in in this case the score of a reddit post and theres some treatment that were interested in uh in this case the self-labeled gender of the poster on this post and the question that we want to know is what is the causal effect of this treatment this this treatment attribute of the text on the outcome attribute of the text so what is the effect of this gender label on the popularity of the post right uh and another like key element of this is were going to observe the text data that goes along with about post and that will be critical later okay so uh okay so we want this causal effect of the treatment on the outcome uh theres a really naive thing that we could do which is just look at the difference in expected out
