@inproceedings{Lu2020c,

title = {What Makes a Trophy Hunter? An Empirical Analysis of Reddit Discussions},

author = {Chien Lu and Jaakko Peltonen and Timo Nummenmaa and Xiaozhou Li and Zheying Zhang},

editor = {Jonna Koivisto and Mila Bujić and Juho Hamari},

url = {https://urn.fi/URN:NBN:fi:tuni-202008266665},

issn = {1613-0073},

year  = {2020},

date = {2020-04-01},

booktitle = {Proceedings of the 4th International GamiFIN Conference},

pages = {146-156},

publisher = {CEUR-WS},

abstract = {In this paper, an empirical data-driven analysis of online discussions of meta-game reward systems is carried out. The data is collected from one of the biggest online discussion forums called Reddit and a text-mining technique called topic modeling is employed. Over 46000 discussion threads from the two most relevant subreddits /r/xboxachievements and /r/Trophies are analyzed and the results of topic modeling shows not only interesting topics but also the (dis)similarity between two text sources the temporal trends of topics. We have found that the volume of related discussions shows an ongoing trend. The topic model results have also revealed that some game genres are more prevalent than others and the (dis)similarities between text sources have been also discovered.},

keywords = {Reddit, Topic modeling, Trophy hunting},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Lu2019b,

title = {Game Postmortems Vs. Developer Reddit AMAs: Computational Analysis of Developer Communication},

author = {Chien Lu and Jaakko Peltonen and Timo Nummenmaa},

url = {https://urn.fi/URN:NBN:fi:tuni-202101291788},

doi = {10.1145/3337722.3337727},

isbn = {2153-1633},

year  = {2019},

date = {2019-08-26},

booktitle = {FDG '19: Proceedings of the 14th International Conference on the Foundations of Digital Games},

pages = {1-7},

publisher = {ACM},

abstract = {Postmortems and Reddit Ask Me Anything (AMA) threads represent communications of game developers through two different channels about their game development experiences, culture, processes, and practices. We carry out a quantitative text mining based comprehensive analysis of online available postmortems and AMA threads from game developers over multiple years. We find and analyze underlying topics from the postmortems and AMAs as well as their variation among the data sources and over time. The analysis is done based on structural topic modeling, a probabilistic modeling technique for text mining. The extracted topics reveal differing and common interests as well as their evolution of prevalence over time in the two text sources. We have found that postmortems put more emphasis on detail-oriented development aspects as well as technically-oriented game design problems whereas AMAs feature a wider variety of discussion topics that are related to a more general game development process, game-play and game-play experience related game design. The prevalences of the topics also evolve differently over time in postmortems versus AMAs.},

keywords = {Game development, Literature analysis, Postmortem analysis, Reddit, Text mining},

pubstate = {published},

tppubtype = {inproceedings}

}