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Understanding Abusive Behaviour Between Online and Offline Group Discussions Abdulwhab Alkharashi, Tim Storer, Joemon Jose, Andrew Hoskins, Catherine Happer CHI '19: ACM CHI Conference on Human Factors in Computing Systems Session: New Perspectives Abstract Online discussion platforms can face multiple challenges of abusive behaviour. In order to understand the reasons for persisting such behaviour, we need to understand how users behave inside and outside a community. In this paper, we propose a novel methodology to generate a dataset from offline and online group discussion conversations. We advocate an empirical-based approach to explore the space of abusive behaviour. We conducted a user-study (N = 15) to understand what factors facilitate or amplify forms of behaviour in cases of online conversation that are less likely to be tolerated in face-to-face. The preliminary analysis validates our approach to analyse large-scale conversation dataset. DOI:: https://doi.org/10.1145/3290607.3299042 WEB:: https://chi2019.acm.org/ Recorded at the ACM CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland, May 4 - 9 2019