<![CDATA[Purpose: This study aimed to map the intellectual structure of global research on data journalism and fact-checking and analyzed its specific adoption patterns in Indonesia to understand how global trends translated into the Global South context. Methods: Adopting a quantitative bibliometric approach, data were retrieved from the Scopus database covering the last decade. The study utilized Biblioshiny software, selected for its integrated statistical workflow and superior capability in comparative thematic mapping, to visualize and compare co-occurrence and co-citation networks between the global dataset and the Indonesian adoption dataset. Findings: Global results revealed an exponential growth trajectory driven by the interdisciplinary convergence of journalism studies and computer science, with Natural Language Processing and Pandemic emerging as dominant motor themes. Conversely, the Indonesian dataset indicated a unique, reactive adoption pattern with a sharp acceleration in publications during 2016–2025. Unlike the global trend toward automated detection, Indonesian research prioritized Social Media as the central problem context and Human collaboration as the primary solution, reflecting a sociotechnical adaptation to local resource constraints. Originality: This study provided new theoretical insights into journalism technology adoption in the Global South by conceptualizing the methodological divide between global computational trends and local human-centric practices. It offered a non-Western perspective on digital media evolution and suggested future empirical research on human-machine collaboration.]]>
Copyrights © 2026
