Proliferation of E-Newspapers and Its Financial Impact on the Publishing Industry in UAE
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".