User Reviews as a Reporting Mechanism for Emergent Issues Within Social VR Communities (original) (raw)

O'Hagan, Joseph, Mathis, Florian and McGill, Mark(2023) User Reviews as a Reporting Mechanism for Emergent Issues Within Social VR Communities. In: 22nd International Conference on Mobile and Ubiquitous Multimedia (MUM 2023), Vienna, Austria, 3-6 December 2023, pp. 230-237. ISBN 9798400709210(doi: 10.1145/3626705.3627780)

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Abstract

Social virtual reality (VR) will potentially change online communities, transforming how people meet, interact, and socialise online. However, issues surrounding the growing threat of harassment (from verbal to cyber-physical assault) posed within social VR platforms are increasingly being noted within research.Yet, while prior research has successfully captured singular qualitative insights (e.g. identifying individual types of harassment or target user groups) it is essential that systems be developed to monitor emergent threats to community cohesion, including harassment, in a platform independent manner. In this paper, we explore whether user reviews are a valid and useful source of data around harassment incidences in social VR, a crucial first step towards platform agnostic, large scale and longitudinal monitoring of emerging harassment in social VR communities through user reviews posted about social VR applications.. We analysed 1000 user reviews posted on the Meta Quest store page for the social VR platform Rec Room and found 114 reviews report experiencing and/or witnessing harassment during use. Our results establish the validity of analysing user reviews as a means of monitoring harassment in social VR communities and we close by discussing their use in large scale, longitudinal monitoring systems.

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