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Record W1982198075 · doi:10.5539/ijef.v7n3p194

Proliferation of E-Newspapers and Its Financial Impact on the Publishing Industry in UAE

2015· article· en· W1982198075 on OpenAlexvenueno aff
Jacob Cherian, Sherine Farouk

Bibliographic record

VenueInternational Journal of Economics and Finance · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Influence and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperRevenueAdvertisingThe InternetPublishingCompetition (biology)Profitability indexReading (process)Circulation (fluid dynamics)BusinessMarketingPolitical scienceEngineeringComputer scienceWorld Wide WebFinance

Abstract

fetched live from OpenAlex

Currently online news sites have greatly satisfied the expectations of the readers, and there has been a decrease in the circulation of print newspapers. Proliferation of various e newspapers has given a lot of choices to people so that there is a growing competition between the two. Here an attempt is made to gather all the available literature resources so that the research will enable the printing industry to think of moving in a different direction. As the world is moving fast in terms of technology the easiest option to save time and get the information via internet. The senior citizens still opt for the traditional form of newspapers. The development of multiple communication mediums such as the internet, smart phones or e-readers supports the UAE youngsters to get the news rapidly. It also provides the information up-to-date, faster by using internet technology. The online media impact on print media begins on the different views of print media such as print revenue, demand, market share, profitability, subscription and advertising revenue. The male students in UAE colleges prefer reading newspapers in online than the female. This research focuses on the qualitative study of the e newspapers advantage over the Print News papers.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.113

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.055
GPT teacher head0.321
Teacher spread0.266 · 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.

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

Citations1
Published2015
Admission routes1
Has abstractyes

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