A theoretical framework for online game society: the case of League of Legends
A theoretical framework for online game society: the case of League of Legends
League of Legends is the largest online game in the world, but is under-represented in video game studies. Its community is large and multi-sited, but known for competitive and toxic behaviours. This paper presents a qualitative research project into video game sociology, using League of Legends as the research site. It draws on Bourdieu's established social theory alongside empirical ethnography and remediates it, creating a theoretical framework which models the underlying social structure of wider virtual worlds and online communities in a flexible, adaptable way.
355-357
Rimington, Elzabi
7389b6e4-3df7-40c9-b386-1b4d29cc6812
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4
Leonard, Pauline
a2839090-eccc-4d84-ab63-c6a484c6d7c1
31 May 2016
Rimington, Elzabi
7389b6e4-3df7-40c9-b386-1b4d29cc6812
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4
Leonard, Pauline
a2839090-eccc-4d84-ab63-c6a484c6d7c1
Rimington, Elzabi, Weal, Mark and Leonard, Pauline
(2016)
A theoretical framework for online game society: the case of League of Legends.
WebSci '16 ACM Web Science Conference, , Hannover, Germany.
22 - 25 May 2016.
.
(doi:10.1145/2908131.2908194).
Record type:
Conference or Workshop Item
(Poster)
Abstract
League of Legends is the largest online game in the world, but is under-represented in video game studies. Its community is large and multi-sited, but known for competitive and toxic behaviours. This paper presents a qualitative research project into video game sociology, using League of Legends as the research site. It draws on Bourdieu's established social theory alongside empirical ethnography and remediates it, creating a theoretical framework which models the underlying social structure of wider virtual worlds and online communities in a flexible, adaptable way.
Text
p355-rimington.pdf
- Version of Record
Restricted to Repository staff only
Request a copy
More information
Published date: 31 May 2016
Venue - Dates:
WebSci '16 ACM Web Science Conference, , Hannover, Germany, 2016-05-22 - 2016-05-25
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 396230
URI: http://eprints.soton.ac.uk/id/eprint/396230
PURE UUID: 19b02ff9-407c-4ab3-b559-9de663bb47ae
Catalogue record
Date deposited: 06 Jun 2016 10:40
Last modified: 15 Mar 2024 02:48
Export record
Altmetrics
Contributors
Author:
Elzabi Rimington
Author:
Mark Weal
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics