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Record W2344407524 · doi:10.1177/1748048516642732

Assessing public sentiments and news preferences on Al Jazeera and Al Arabiya

2016· article· en· W2344407524 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Communication Gazette · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsConcordia University
Fundersnot available
KeywordsMedia studiesNews valuesAdvertisingPolitical scienceNews mediaChannel (broadcasting)ArabicInternet privacySociologyComputer scienceBusinessTelecommunicationsLinguistics

Abstract

fetched live from OpenAlex

This article investigates the online comments made by Arab Facebook users on news items posted on the Facebook pages of two very popular TV channels: Al-Jazeera Arabic and Al-Arabiya. This study employs different methods to closely examine over 620,000 comments posted on the two Facebook pages as well as studying the most commented on news stories from a total of 11,685 news reports. The results indicate that commentators expressed some dominant sentiments that are mostly in line with the TV channels’ coverage of certain events, while certain news topics attracted most of the online public’s comments especially on Al Jazeera channel.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.106
GPT teacher head0.410
Teacher spread0.304 · 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