Spaces of Negotiation: Analyzing Platform Power in the News Industry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article develops an analytical framework to examine the contingent power relations between news organizations and platforms. Eschewing one-sided, monolithic perspectives on platform dominance, we instead theorize power as relational. From this perspective, we observe important variations in news organizations’ degree of platform in/dependence. Examining these variations, we propose the concept of spaces of negotiation, which refers to the opportunities available to news organizations to determine how they produce, distribute, and monetize content vis-à-vis platforms. Building on research in journalism studies, platform studies, and related disciplines, we identify three key variables that shape these spaces of negotiation: (1) platform evolution, (2) stage of production, and (3) type of news organization. A systematic analysis of these variables, we contend, allows for a more nuanced, less deterministic understanding of the role of platform companies in transforming the news landscape.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it