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Abstract

Background: Social Computing is an interdisciplinary field that explores the social aspects of digital technologies, focusing on online communities, social networks, and collaboration tools.
Objectives: This study aimed to unravel the complexities of social interactions within digital spaces by investigating user feedback, impact, engagement, and influence on social media platforms.
Methods: A comprehensive research methodology was employed, including online surveys and user behaviour logs, to collect quantitative and qualitative data. Purposive sampling ensured diverse participant representation. Data analysis involved statistical analysis and thematic analysis.
Results: The analysis of user feedback and impact revealed differences between two user groups (Group A and Group B). Group A users reported higher satisfaction, spent more time on social media, and had a lower negative impact compared to Group B users. In terms of engagement and influence, Group A users exhibited higher scores, more followers, likes, and retweets than Group B users.
Conclusion: The study on social dynamics in digital spaces provides insights into user experiences and behaviours, informing interventions and policies for enhancing satisfaction and fostering positive interactions.