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Record W3006316480 · doi:10.3968/7641

How Media Covered “Arab Spring” Movement: Comparison Between the American Fox News and the Middle Eastern Al Jazeera

2015· article· en· W3006316480 on OpenAlexvenueno aff
Noura Alalawi

Bibliographic record

VenueCross-cultural communication · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsTimelineMedia studiesSpring (device)Broadcasting (networking)Presentation (obstetrics)Movement (music)PoliticsNews mediaPower (physics)Section (typography)HistoryPolitical scienceMass mediaEvent (particle physics)AdvertisingSociologyComputer scienceArtLawEngineering

Abstract

fetched live from OpenAlex

The purpose of the research paper is the comparison of two different Media with strong political power all over the world, i.e. Fox News and Al Jazeera. The comparison will be based via a specific event; more specifically the author will investigate the way each of these media covered the Arab Spring Movement, which was initiated in Tunisia on December 17, 2010. Since this particular study is of a historical type, it will be focused on the timeline of the events and the way each media covered each of those events. In addition, the analysis section of the comparison will be based upon the actual timeline of the Arab Spring. Finally, the whole research body will be supported via the presentation of the historical background of both media, while the events themselves took place. It has to be noted that the coverage of both networks presented in the present study is based on independent sources criticizing the way this broadcasting was actually performed. The findings regarding AL Jazeera were more extensive by the ones of FOX News, always according to the research conducted on the Internet and other academic sources.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.004
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.113
GPT teacher head0.369
Teacher spread0.255 · 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 designObservational
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

Citations0
Published2015
Admission routes1
Has abstractyes

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