Patches and Player Community Perceptions: Analysis of No Man's Sky Steam Reviews

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Current game publishing typically involves an ongoing commitment to maintain and update games after initial release, and as a result the reception of games among players has the potential to evolve; it is then crucial to understand how players’ concerns and perception of the game are affected by ongoing updates and by passage of time in general. We carry out a data-driven analysis of a prominent game release, No Man’s Sky, using topic modeling based text mining of Steam reviews. Importantly, our approach treats player perception not as a single sentiment but identifies multiple topics of interest that evolve differently over time, and allows us to contrast patching of the game to evolution of the topics.
Original languageEnglish
Title of host publicationDiGRA '20 - Proceedings of the 2020 DiGRA International Conference
Subtitle of host publicationPlay Everywhere
Publication statusPublished - Oct 2020
Publication typeA4 Article in conference proceedings
EventDiGRA 2020: The 13th Digital Games Research Association Conference: Play Everywhere - Tampere, Finland
Duration: 2 Jun 20206 Jun 2020
Conference number: 13

Publication series

NameConference of Digital Games Research Association
ISSN (Electronic)2342-9666


ConferenceDiGRA 2020: The 13th Digital Games Research Association Conference
Internet address

Publication forum classification

  • Publication forum level 1


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