Development Communication in the Algorithmic Public Sphere (A Netnographic Study of Government Instagram Communication)

This study examines how government development communication operates within algorithmically mediated social media environments, focusing on the Instagram account @indonesiabaik.id as a cross-ministerial communication platform in Indonesia. Despite its large audience reach, the account exhibits fluctuating engagement patterns, indicating that communication outcomes cannot be explained solely by message quality or production intensity. Using a qualitative netnographic approach combined with content and interaction analysis, this research investigates the relationship between development messages, algorithmic visibility, and public interpretation. The findings reveal a structural gap between top-down communication strategies and bottom-up audience responses, shaped by the interplay of platform algorithms and participatory digital publics. Algorithms function as key mediators that determine content visibility based on engagement metrics, while users actively reinterpret and reshape messages through comments and interactive practices. These dynamics highlight that communication in digital environments is non-linear, recursive, and co-constructed. To address this complexity, the study proposes the Algorithm–Development–Interaction (ADI) Communication Model, which conceptualizes communication as a cyclical process integrating institutional message production, algorithmic filtering, and public engagement. This model offers a theoretical contribution to digital development communication by reframing communication as a process of circulation and negotiation within platform ecosystems, while also providing practical insights for designing more adaptive and participatory government communication strategies.