2020
Lu, Chien; Li, Xiaozhou; Nummenmaa, Timo; Zhang, Zheying; Peltonen, Jaakko
Patches and Player Community Perceptions: Analysis of No Man's Sky Steam Reviews Proceedings Article
In: DiGRA ’20 – Proceedings of the 2020 DiGRA International Conference: Play Everywhere, DiGRA, 2020, ISSN: 2342-9666.
Abstract | Links | Tags: No Man's Sky, Player modeling, Topic modeling
@inproceedings{Lu2020,
title = {Patches and Player Community Perceptions: Analysis of No Man's Sky Steam Reviews},
author = {Chien Lu and Xiaozhou Li and Timo Nummenmaa and Zheying Zhang and Jaakko Peltonen},
url = {http://urn.fi/URN:NBN:fi:tuni-202012048488},
issn = {2342-9666},
year = {2020},
date = {2020-06-02},
booktitle = {DiGRA ’20 – Proceedings of the 2020 DiGRA International Conference: Play Everywhere},
publisher = {DiGRA},
abstract = {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.},
keywords = {No Man's Sky, Player modeling, Topic modeling},
pubstate = {published},
tppubtype = {inproceedings}
}
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.