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Record W2985906694 · doi:10.1177/1464884919883491

AFP, EFE and dpa as international news agencies

2019· article· en· W2985906694 on OpenAlexaboutno aff
Jasmin Surm

Bibliographic record

VenueJournalism · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)Diversification (marketing strategy)Political scienceRelevance (law)Bridge (graph theory)State (computer science)International agencyPublic administrationBusinessSociologySocial scienceLawMarketingMedicine

Abstract

fetched live from OpenAlex

While earlier news agency studies have often concentrated on Reuters in the United Kingdom (now in Canada) and on the Associated Press in the United States as the leading international news agencies, there is less up-to-date research in English on international agencies outside the Anglo-American sphere. This article intends to help bridge that research gap and to analyse the recent development of Agence France-Presse in France, EFE in Spain and Deutsche Presse-Agentur in Germany. The article uses a case study approach, employing in-depth interviews with agency representatives. The results of the analysis show that all three agencies fulfil the criteria for an international agency. However, to do so, they all not only need a large domestic market, together with linguistic and cultural markets outside their home countries, but also state support, in case of Agence France-Presse and EFE. The findings emphasize the relevance of diversification and innovation in response to the changing structure and demands of national and international markets.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0040.005
Scholarly communication0.0180.010
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.031
GPT teacher head0.338
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations23
Published2019
Admission routes1
Has abstractyes

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