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Controversial posts are those that split the preferences of a community,receiving both significant positive and significant negative feedback. Ourinclusion of the word "community" here is deliberate: what is controversial tosome audiences may not be so to others. Using data from several differentcommunities on reddit.com, we predict the ultimate controversiality of posts,leveraging features drawn from both the textual content and the tree structureof the early comments that initiate the discussion. We find that even when onlya handful of comments are available, e.g., the first 5 comments made within 15minutes of the original post, discussion features often add predictive capacityto strong content-and-rate only baselines. Additional experiments on domaintransfer suggest that conversation-structure features often generalize to othercommunities better than conversation-content features do.

Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features