2020
Lu, Chien; Peltonen, Jaakko; Nummenmaa, Timo; Li, Xiaozhou; Zhang, Zheying
What Makes a Trophy Hunter? An Empirical Analysis of Reddit Discussions Proceedings Article
In: Koivisto, Jonna; Bujić, Mila; Hamari, Juho (Ed.): Proceedings of the 4th International GamiFIN Conference, pp. 146-156, CEUR-WS, 2020, ISSN: 1613-0073.
Abstract | Links | Tags: Reddit, Topic modeling, Trophy hunting
@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}
}
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.