arbiter
JournalsAccount

D[X]IM—the Dynamic Intermediary Model of communicative transaction on digital platforms in a networked public sphere

Jakob Ohme et al.

Communication Theory2025https://doi.org/10.1093/ct/qtaf025article
ABDC A
Weight
0.37

Abstract

This 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.

1 citation

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1093/ct/qtaf025

Or copy a formatted citation

@article{jakob2025,
  title        = {{D[X]IM—the Dynamic Intermediary Model of communicative transaction on digital platforms in a networked public sphere}},
  author       = {Jakob Ohme et al.},
  journal      = {Communication Theory},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1093/ct/qtaf025},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

D[X]IM—the Dynamic Intermediary Model of communicative transaction on digital platforms in a networked public sphere

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.