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What makes a trophy hunter? An empirical analysis of Reddit discussions

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationGamiFIN Conference 2020
Subtitle of host publicationProceedings of the 4th International GamiFIN Conference
EditorsJonna Koivisto, Mila Bujić, Juho Hamari
PublisherCEUR-WS
Pages146-156
Number of pages11
Publication statusPublished - 2020
Publication typeA4 Article in a conference publication
EventInternational GamiFIN Conference -
Duration: 1 Jan 1900 → …

Publication series

NameCEUR workshop proceedings
Volume2637
ISSN (Electronic)1613-0073

Conference

ConferenceInternational GamiFIN Conference
Period1/01/00 → …

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.

Publication forum classification

Field of science, Statistics Finland