Navigating the Digital Public Sphere: An AI-Driven Analysis of Interaction Dynamics across Societal Domains

Abstract

The increasingly digital nature of modern societies necessitates continually examining how individuals interact in the public sphere. This systematic literature review comprehensively analyzes emerging research on public interaction across diverse contexts. By employing an innovative method of applying artificial intelligence on a large-scale academic corpus, we systematically identified and categorized eight major research clusters: social media and public discourse; public Governance in health and education; urban environments and data systems; group interaction dynamics; complex systems modeling; human-display interfaces; political processes; and public service design. Sub-topic mapping revealed key themes such as digital civic engagement, transport sustainability, behavioral dynamics, and socio-environmental impacts. Our interdisciplinary synthesis highlights public interaction as a multifaceted phenomenon intertwined with technological change, policy decisions, environmental factors, and social constructs. These insights underscore the need for holistic, cross-disciplinary approaches to navigate the challenges and opportunities of public interaction in our rapidly evolving digital age. This review provides a unified knowledge base to guide future research while informing decision-makers on cultivating participatory, adaptive, and sustainable public spheres.