Use individualism-collectivism words in Weibo to predict players’ preference for single player game or online game

Subjects: Psychology >> Applied Psychology submitted time 2019-01-22

张伟斌 王佳舟 萨切尔 王歆睿 代启隆 朱廷劭

Abstract： Players preferences for different types of games are influenced by their own characteristics. The number of players determines that the mode of single player game is more independent, while the mode of online game mode is more collaborative. Given that individualism individuals tend to emphasize independence, collectivism individuals emphasize collaboration. We hypothesized that players’ individualism-collectivism tendency may affect their preference for single player game or online game. This study used Weibo user’s data to explore whether there was a difference in individualism-collectivism words expressions between single player game players and online game players. Then we used these features to predict players single player or online game preferences. The result showed that single player game players expressed more individualism words in Weibo, while online game players expressed more collectivism words. Using machine learning method, individualism-collectivism words expressions could predict players type, but accuracy of the model was low. This study provided preliminary evidence for using Weibo data to identify users preference for games, thus had certain application value.

Peer Review Status:Awaiting Review

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