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

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What makes a trophy hunter? An empirical analysis of Reddit discussions. / Lu, Chien; Peltonen, Jaakko; Nummenmaa, Timo; Li, Xiaozhou; Zhang, Zheying.

GamiFIN Conference 2020: Proceedings of the 4th International GamiFIN Conference. ed. / Jonna Koivisto; Mila Bujić; Juho Hamari. CEUR-WS, 2020. p. 146-156 (CEUR workshop proceedings; Vol. 2637).

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

Harvard

Lu, C, Peltonen, J, Nummenmaa, T, Li, X & Zhang, Z 2020, What makes a trophy hunter? An empirical analysis of Reddit discussions. in J Koivisto, M Bujić & J Hamari (eds), GamiFIN Conference 2020: Proceedings of the 4th International GamiFIN Conference. CEUR workshop proceedings, vol. 2637, CEUR-WS, pp. 146-156, International GamiFIN Conference, 1/01/00.

APA

Lu, C., Peltonen, J., Nummenmaa, T., Li, X., & Zhang, Z. (2020). What makes a trophy hunter? An empirical analysis of Reddit discussions. In J. Koivisto, M. Bujić, & J. Hamari (Eds.), GamiFIN Conference 2020: Proceedings of the 4th International GamiFIN Conference (pp. 146-156). (CEUR workshop proceedings; Vol. 2637). CEUR-WS.

Vancouver

Lu C, Peltonen J, Nummenmaa T, Li X, Zhang Z. What makes a trophy hunter? An empirical analysis of Reddit discussions. In Koivisto J, Bujić M, Hamari J, editors, GamiFIN Conference 2020: Proceedings of the 4th International GamiFIN Conference. CEUR-WS. 2020. p. 146-156. (CEUR workshop proceedings).

Author

Lu, Chien ; Peltonen, Jaakko ; Nummenmaa, Timo ; Li, Xiaozhou ; Zhang, Zheying. / What makes a trophy hunter? An empirical analysis of Reddit discussions. GamiFIN Conference 2020: Proceedings of the 4th International GamiFIN Conference. editor / Jonna Koivisto ; Mila Bujić ; Juho Hamari. CEUR-WS, 2020. pp. 146-156 (CEUR workshop proceedings).

Bibtex - Download

@inproceedings{d18fbf6a60c9452280817e90fbf0e61c,
title = "What makes a trophy hunter?: An empirical analysis of Reddit discussions",
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.",
author = "Chien Lu and Jaakko Peltonen and Timo Nummenmaa and Xiaozhou Li and Zheying Zhang",
note = "DUPL=54597296 JUFOID=53269",
year = "2020",
language = "English",
series = "CEUR workshop proceedings",
publisher = "CEUR-WS",
pages = "146--156",
editor = "Jonna Koivisto and Mila Bujić and Juho Hamari",
booktitle = "GamiFIN Conference 2020",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - What makes a trophy hunter?

T2 - An empirical analysis of Reddit discussions

AU - Lu, Chien

AU - Peltonen, Jaakko

AU - Nummenmaa, Timo

AU - Li, Xiaozhou

AU - Zhang, Zheying

N1 - DUPL=54597296 JUFOID=53269

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

M3 - Conference contribution

T3 - CEUR workshop proceedings

SP - 146

EP - 156

BT - GamiFIN Conference 2020

A2 - Koivisto, Jonna

A2 - Bujić, Mila

A2 - Hamari, Juho

PB - CEUR-WS

ER -