Theoretical Reconsiderations of Social Capital in Digitally Networked Communities: From Bonding and Bridging to Algorithmic and Platform-Mediated Forms

Abstract

Social capital—the resources embedded in social networks—has been fundamentally reshaped by digital platforms that mediate connection, trust, and reciprocity at unprecedented scale. Traditional distinctions between bonding and bridging social capital require reconsideration in environments characterized by algorithmic curation, quantified interactions, and platform governance. This review examines theoretical transformations in social capital concepts within digitally networked communities, grounded in network theory, Putnam’s and Bourdieu’s frameworks, and platform studies. Recognition of platform mediation has driven shifts from offline-centric models to hybrid and algorithmically shaped forms, from dense local ties to sparse global networks, and from organic trust-building to quantified and gamified interactions. Specific mechanisms—including recommendation algorithms, engagement metrics, and platform affordances—reshape tie formation, maintenance, and resource mobilization. Applications in civic engagement, economic opportunity, and health support demonstrate both expanded reach and new forms of exclusion and manipulation. Challenges of measurement, algorithmic bias, and the erosion of unmediated reciprocity persist. Prospects center on platform accountability, alternative digital infrastructures, and updated theoretical models that integrate algorithmic agency into social capital analysis. The analysis concludes that social capital in digitally networked communities is not simply amplified or diminished but qualitatively transformed, requiring theoretical frameworks that account for platform power, datafication, and the reconfiguration of trust and reciprocity.