MetaScoreLens: Evaluating User Feedback Across Digital Entertainment Systems
Christian Ellington, Paramahansa Pramanik, Haley K. Robinson

TL;DR
This study compares user review ratings across four major gaming platforms using statistical analysis, revealing significant differences in user satisfaction levels among them.
Contribution
It applies statistical methods to a large dataset to systematically compare user feedback across gaming systems, providing insights into platform-specific user preferences.
Findings
PC games received the highest user ratings
Xbox and PlayStation had moderate ratings
Nintendo games received the lowest ratings
Abstract
The popularity of electronic games has grown steadily in recent years, attracting a broad audience across age groups. With this growth comes a large volume of related data, prompting efforts like the PlayMyData to compile and share structured datasets for academic use. This study utilizes such a dataset to compare user review ratings across four current-generation gaming systems: Nintendo, Xbox, PlayStation, and PC. Statistical methods, including analysis of variance (ANOVA), were applied to identify differences in average scores among these platforms. The findings indicate that PC titles tend to receive the most favorable user feedback, followed by Xbox and PlayStation, while Nintendo games showed the lowest average ratings. These patterns suggest that the platform on which a game is released may influence how players evaluate their experience. Such results may be valuable to…
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Taxonomy
TopicsDigital Games and Media · Artificial Intelligence in Games · Educational Games and Gamification
