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Record W2910766306 · doi:10.70064/mt.v2i2.943

Media Theory, Public Relevance and the Propaganda Model Today

2018· article· en· W2910766306 on OpenAlexaboutno aff
Jeffery Klaehn, Daniel Broudy, Christian Fuchs, Yigal Godler, Florian Zollmann, Noam Chomsky, Joan Pedro-Carañana, Tom Mills, Oliver Boyd‐Barrett

Bibliographic record

VenueMedia theory. · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamRelevance (law)ScholarshipConsolidation (business)AuthoritarianismMedia studiesGermanPolitical scienceSociologyAlternative mediaSocial sciencePoliticsDemocracyHistoryLaw

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.857
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.288
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2018
Admission routes1
Has abstractyes

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