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What moves players? Visual data exploration of Twitter and gameplay data

: Drescher, C.; Wallner, G.; Kriglstein, S.; Sifa, R.; Drachen, A.; Pohl, M.

Volltext ()

Association for Computing Machinery -ACM-, Special Interest Group on Computer and Human Interaction -SIGCHI-:
CHI Conference on Human Factors in Computing Systems, CHI 2018. Proceedings : April 21-26, 2018, Montreal, QC, Canada
New York: ACM, 2018
ISBN: 978-1-4503-5620-6
Art.560, 13 S.
Conference on Human Factors in Computing Systems (CHI) <36, 2018, Montreal>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

In recent years, microblogging platforms have not only become an important communication channel for the game industry to generate and uphold audience interest but also a rich resource for gauging player opinion. In this paper we use data gathered from Twitter to examine which topics matter to players and to identify influential members of a game's community. By triangulating in-game data with Twitter activity we explore how tweets can provide contextual information for understanding fluctuations in in-game activity. To facilitate analysis of the data we introduce a visual data exploration tool and use it to analyze tweets related to the game Destiny. In total, we collected over one million tweets from about 250,000 users over a 14-month period and gameplay data from roughly 3,500 players over a six-month period.