Developing and Validating Social Trust Indices in Digitally Mediated Societies

Abstract

Social trust has become a fragile and contested resource in societies increasingly organized through digital platforms, algorithmic mediation, and networked communication. Traditional measures of trust were developed for face-to-face communities and institutional interactions, yet contemporary life is shaped by online reputation systems, platform governance, and data-driven personalization. This study develops and validates comprehensive social trust indices suitable for digitally mediated societies. The research integrates perspectives from sociology, information systems, and behavioral economics to conceptualize trust as a multidimensional construct consisting of interpersonal digital trust, institutional digital trust, algorithmic trust, and data privacy confidence. A quantitative design was employed using survey responses from 420 participants drawn from education, commerce, and public service sectors. Measurement scales were adapted from established trust literature and extended to capture digital specific dimensions. SmartPLS structural equation modeling was used to assess reliability, validity, and predictive relevance of the proposed indices. Findings demonstrate that digital social trust is not a single attitude but an ecosystem of related beliefs. Algorithmic transparency and perceived data protection emerged as the strongest predictors of overall social trust, while frequency of online interaction alone showed limited explanatory power. The validated index achieved composite reliability values above .87 and average variance extracted above .60 across all dimensions, indicating strong psychometric properties. The study contributes a practical measurement tool that governments, researchers, and platforms can use to monitor the health of social trust in online environments. Theoretically, it bridges classical trust theory with digital governance debates, proposing that trust in code and platforms now functions alongside trust in people and institutions. Implications include the need for transparent platform design, stronger data ethics frameworks, and public digital literacy initiatives. The research offers policymakers a diagnostic instrument to detect erosion of trust before it manifests as polarization or disengagement. Future studies should apply the index across cultures and longitudinally to observe how crises and technological changes reshape trust dynamics. By translating abstract concerns about digital life into measurable indicators, this work supports evidence-based strategies for sustaining social cohesion in networked societies.