Analyzing the Impact of Innovative Features in New Social Networks on User Engagement and Content Sharing Dynamics

Abstract

This study investigates the effects of novel functionalities on user behavior across emerging social media platforms. Employing a mixed-methods research design, the study integrates quantitative analysis of engagement metrics with qualitative feedback from user interviews and surveys to assess how augmented reality (AR) filters, ephemeral content, and algorithmic curation influence engagement and content sharing. Results indicate these features significantly enhance user interaction, suggesting that innovation is key to user retention and active participation. Additionally, the study examines the double-edged nature of algorithmic curation, balancing user experience personalization against the risks of creating informational echo chambers. The implications of these findings extend to various stakeholders in the digital ecosystem, including content creators, marketers, technology developers, and policymakers, emphasizing the importance of user-centric innovation and ethical considerations in platform development. This research contributes to the broader understanding of social media evolution and its impact on digital communication practices.