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DiGRA
The study analyzes roughly 85,800 Steam reviews of No Man's Sky posted between August 2016 and October 2019.
This analysis investigates the evolution of player perceptions for No Man's Sky on Steam between 2016 and 2019, specifically examining how game updates influenced player sentiment. Utilizing Structural Topic Model (STM) text mining on over 85,000 reviews, the study identifies key discussion topics, tracks their changes over time, and correlates these shifts with game patches. The central thesis posits that continuous developer engagement through updates can significantly alter player reception, even for games with initially poor launches.
A primary finding indicates a substantial improvement in overall recommendation rates, rising from 40.86% at launch to 53.03% by October 2019. The analysis identified 55 distinct topics, revealing that initial negative sentiment, characterized by "Disappointment to Promise and Hype" and "Lies and Missed Promises," peaked post-release but subsequently declined as major updates were introduced. Conversely, positive topics such as "Evaluating Game-play," "Reaching Recommended Status," and "Appreciating Improvements" gained prominence, directly correlating with developer efforts.
While many updates fostered positive sentiment and appreciation for ongoing improvements, the introduction of new features like missions or multiplayer also generated new technical issues and dissatisfaction, particularly among players who did not recommend the game. Topics related to technical problems, including graphics, crashes, and bugs, consistently increased in prevalence within negative reviews, suggesting that added complexity from new features could introduce new sources of player frustration. The scope of this analysis is limited to No Man's Sky Steam reviews from 2016-2019, focusing on player community perceptions within the PC gaming segment.
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