Understanding Abusive Behaviour Between Online and Offline Group Discussions

Alkharashi, A., Storer, T. , Jose, J. , Hoskins, A. and Happer, C. (2019) Understanding Abusive Behaviour Between Online and Offline Group Discussions. In: CHI 2019: 37th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, New York, NY, USA, 4-9 May 2019, CS15. ISBN 9781450359719 (doi: 10.1145/3290607.3299042)

178913.pdf - Accepted Version



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.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Jose, Professor Joemon and Storer, Dr Tim and Hoskins, Professor Andrew and Alkharashi, Mr Abdulwhab and Happer, Dr Catherine
Authors: Alkharashi, A., Storer, T., Jose, J., Hoskins, A., and Happer, C.
College/School:College of Science and Engineering > School of Computing Science
College of Social Sciences > School of Social and Political Sciences > Sociology Anthropology and Applied Social Sciences
Copyright Holders:Copyright © 2019 The Authors
First Published:First published in CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI’19 Extended Abstracts): CS15
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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