Do players communicate differently depending on the champion played? Exploring the Proteus effect in League of Legends
Sercan Şengün,
Joao M. Santos,
Joni Salminen,
Soon-gyo Jung and
Bernard J. Jansen
Technological Forecasting and Social Change, 2022, vol. 177, issue C
Abstract:
We investigate how the Proteus effect, which is players changing their way of communication based on characters with which they play, is associated with players’ champion usage in the popular online game League of Legends, where champions are the characters that the players control. First, we create two sets of variables: (a) objective champion characteristics based on information from the game developer, which we further enrich by semiotic coding, and (b) subjective champion characteristics based on crowdsourced opinions about the champions. Then, we analyze 13.6 million in-game chat messages to measure whether the players’ vocality (character counts of messages), valence (negative versus positive scores of language use), and toxicity (frequency of toxic word usage) change depending on the characteristics of the champions they employ. We find that champions’ body type, role, and gender are associated with players’ higher vocality, toxicity, and negative valence. We also find that the players’ communication significantly changes in toxicity and valence when they play using different champions. We discuss our methodology and results in detail and propose design directions and other implications based on them.
Keywords: Games; Toxicity; Vocality; Valence; League of Legends; Proteus effect (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162522000889
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:177:y:2022:i:c:s0040162522000889
DOI: 10.1016/j.techfore.2022.121556
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().