The political economy of Facebook’s platformization in the mobile ecosystem: Facebook Messenger as a platform instance
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
Facebook's usage has reached a point that the platform's infrastructural ambitions are to be taken very seriously. To understand the company's evolution in the age of mobile media, we critically engage with the political economy of platformization. This article puts forward a conceptual framework and methodological apparatus to study Facebook's economic growth and expanding platform boundaries in the mobile ecosystem through an analysis of the Facebook Messenger app. Through financial and institutional analysis, we examine Messenger's business dimension and draw on platform studies and information systems research to survey its technical dimension. By retracing how Facebook, through Messenger, operationalizes platform power, this article attempts to bridge the gap between these various disciplines by demonstrating how platforms emerge and how their apps may evolve into platforms of their own, thereby gaining infrastructural properties. It is argued that Messenger functions as a 'platform instance' that facilitates transactions with a wide range of institutions within the boundaries of the app and far beyond.
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 | 0.000 | 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 | 0.001 | 0.002 |
| 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