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Growing amount of comments make online discussions difficult to moderate byhuman moderators only. Antisocial behavior is a common occurrence that oftendiscourages other users from participating in discussion. We propose a neuralnetwork based method that partially automates the moderation process. Itconsists of two steps. First, we detect inappropriate comments for moderatorsto see. Second, we highlight inappropriate parts within these comments to makethe moderation faster. We evaluated our method on data from a major Slovak newsdiscussion platform.

Improving Moderation of Online Discussions via Interpretable Neural Models