Information & Communication Technology (ICT) enables humans to create, process, and share data. This modern technology induces the frequent demand of social media platforms in our daily lives generating a huge load on data centres which further results in a higher carbon footprint. This study analyses the interdependence of major social media platforms like Instagram, Snapchat, and Facebook with CO2 emissions and their correlation with services provided by cloud computing. Using a Singapore-based dataset, this paper studies the relationship between social media users based on their chronotype, and week of day and presents an impactful result showing variations in the number of carbon emissions. In addition to social media analysis, a literature review on virtual machine (VM) allocation architecture and algorithm is concluded to showcase the positive impact of efficient management of load over nodes in cloud computing. Furthermore, our findings are supported by implementing load balancing algorithm to provide insights on CO2 emissions based on user behaviour. This paper concludes by showcasing peak usage of the mentioned platforms in midweek and weekends. This study covers a vital relationship between digitisation and global warming by promoting sustainable practices supporting green cloud computing. The primary motive of this paper is to study the environmental impacts of increasing data centre loads because of rigorous usage of social media platforms and to explore efficient virtual machine allocation techniques promoting green cloud computing. This approach aims to provide actionable strategy to reduce CO2 emissions while supporting growing digital demands.