Abstract
Social media has become a major communication
channel for communities centered around video games. Consequently,
social media offers a rich data source to study
online communities and the discussions evolving around games.
Towards this end, we explore a large-scale dataset consisting of
over 1 million tweets related to the online multiplayer shooter
Destiny and spanning a time period of about 14 months using
unsupervised clustering and topic modelling. Furthermore, we
correlate Twitter activity with playtime of over 3,000 players.
Our results contribute to the understanding of online player
communities by identifying distinct player groups with respect
to their Twitter characteristics, describing subgroups within the
Destiny community, and uncovering broad topics of community
interest.
Originalsprache | Englisch |
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Titel | 2019 IEEE Conference on Games (CoG) |
Seiten | 1-8 |
Seitenumfang | 8 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2019 |
Veranstaltung | IEEE Conference on Games (COG) 2019 - Dauer: 20 Aug. 2019 → 23 Aug. 2019 |
Konferenz
Konferenz | IEEE Conference on Games (COG) 2019 |
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Zeitraum | 20/08/19 → 23/08/19 |
Research Field
- Ehemaliges Research Field - Capturing Experience