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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.

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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>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

Abstract
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.

: http://publica.fraunhofer.de/dokumente/N-520427.html