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Item D[X]IM—the Dynamic Intermediary Model of communicative transaction on digital platforms in a networked public sphere(2025-10-31) Ohme, Jakob; Mayer, Anna-Theresa; Charlton-Czaplicki, Timothy; Gaisbauer, Felix; Wedel, Lion; Fan, Yangliu; Neuberger, ChristophThis study introduces the Dynamic Intermediary Model (D[X]IM) to address how knowledge processes have evolved with digital platforms by shifting from a dyadic to a triadic communication model of content flow with a potential intermediary. This intermediary, which can be a journalist, influencer, artificial agent, or another platform actor, provides services to the source and recipient of a message, thereby transforming traditional direct communication. It aims to better understand information diffusion in the networked public sphere by recognizing the intermediary’s role in altering source-recipient dynamics. The D[X]IM applies across different communication levels (macro, meso, and micro) and is designed for empirical research using diverse methodologies. It focuses on single instances of platform communication to explore the impact of intermediated communication. The article concludes with a research agenda and examples of how D[X]IM can be applied in empirical research.Item Digital turn without digital methods? Mapping the journey of journalism studies(2025) Fan, Yangliu; Ohme, Jakob; Neuberger, ChristophRecent years have seen a growing diversity in journalism studies, primarily ascribed to digital transformation in the contemporary context. Analyzing 6,770 publications from the five major journalism journals—*Journalism*, *Journalism & Mass Communication Quarterly*, *Journalism Practice*, *Journalism Studies*, and *Digital Journalism*—between 1995 and 2022, we find new evidence that the digital turn is highly visible in journalism studies. Using document co-citation analysis, we first have identified distinct and coherent, yet loosely integrated, research clusters that focus on different journalistic topics, i.e., specialties. Second, we find that digital journalism has not only been integrated into the research agendas within the field but has also formed stand-alone and distinct research clusters. We further show that field structure has developed over the years in response to digital transformation. Yet, digital and computational methods remain in the stark minority compared with the more traditional methods. Our results suggest that journalism studies could benefit from novel inter-cluster communications and methodological innovations.