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In this study, we aim to identify moments of rudeness between twoindividuals. In particular, we segment all occurrences of rudeness inconversations into three broad, distinct categories and try to identify each.We show how machine learning algorithms can be used to identify rudeness basedon acoustic and semantic signals extracted from conversations. Furthermore, wemake note of our shortcomings in this task and highlight what makes thisproblem inherently difficult. Finally, we provide next steps which are neededto ensure further success in identifying rudeness in conversations.

On the Challenges of Detecting Rude Conversational Behaviour