Modeling the Performance Impact of Misinformation on Social Media Servers
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Keywords:
Performance, Misinformation, Queuing Model, Latency, Social MediaAbstract
Maintaining performance is a critical challenge for social media platforms. This paper presents
a queuing-based model to analyze the performance of such servers, focusing on latency and the impact of
misinformation. We extend a foundational M/M/c queuing model to incorporate realistic factors like
network delays, caching, and diverse request types. Subsequently, we explore how the spread of
misinformation, simulated through increased arrival rates and reduced service rates due to content
moderation, affects server performance. The model provides a framework for understanding the interplay
between technical parameters and content dynamics in a social media environment.
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