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Mediamorphosis: Assessing the influence of digital media on traditional newspapers in Nigeria from the audience and media managers’ perspectives

2022· article· en· W4323076720 on OpenAlexaboutno aff
Patrick Ene Okon, Presly Ruke Obukoadata, Lawrence Ekwok

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Influence and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperDigital mediaAdvertisingPrint mediaMedia studiesSociologyBusinessComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

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.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.246
GPT teacher head0.518
Teacher spread0.272 · 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.

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

Citations6
Published2022
Admission routes1
Has abstractyes

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