Mediamorphosis: Assessing the influence of digital media on traditional newspapers in Nigeria from the audience and media managers’ perspectives
Bibliographic record
Abstract
There is an ongoing debate that conventional print media are becoming seriously threatened and facing possible extinction due to the penetrating presence of the digital media. This paper discusses, from the perspectives of the audience and media managers, the situation as it evolves in Nigeria. Applied and survey research methods are adopted for the study. Roger Fidler’s theory of Mediamorphosis and the Toronto School’s Medium theory constitute the theoretical framework. The study identifies that traditional print media are becoming endangered due to low circulation figure, dwindling advertisement revenue, and even closures of newspaper businesses. It, therefore, concludes that change has indeed swept through the media environment, and conventional media in Nigeria should adapt to this change in order to remain relevant. In recommending the way forward, the paper advises Nigerian newspaper owners and managers to create new ideas, new value propositions, and new ways to engage with customers so as to improve on their revenue and ultimately remain in business.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".