Media Theory, Public Relevance and the Propaganda Model Today
Bibliographic record
Abstract
Since its initial formulation in 1988, the Herman-Chomsky Propaganda Model (PM) has become one of the most widely tested models of media performance in the social sciences. This is largely due to the combined efforts of a loose group of international scholars as well as an increasing number of students who have produced studies in the US, UK, Canadian, Australian, Japanese, Chinese, German, and Dutch contexts, amongst others. Yet, the PM has also been marginalised in media and communication scholarship, largely due to the fact that the PM’s radical scholarly outlook challenges the liberal and conservative underpinnings of mainstream schools of thought in capitalist democracies. This paper brings together, for the first time, leading scholars to discuss important questions pertaining to the PM’s origins, public relevance, connections to other approaches within Communication Studies and Cultural Studies, applicability in the social media age, as well as impact and influence. The paper aligns with the 30th anniversary of the PM and the publication of the collected volume, The Propaganda Model Today, and highlights the PM’s continued relevance at a time of unprecedented corporate consolidation of the media, extreme levels of inequality and class conflict as well as emergence of new forms of authoritarianism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.039 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".