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Record W7127609904 · doi:10.1080/23743670.2025.2533831

Media Framing of the Indigenous People of Biafra (IPOB)’s Agitation for the Restoration of Biafra in Two Nigerian Newspapers (2017–2022)

2025· article· en· W7127609904 on OpenAlexaff
Chika Ebere Odoemelam, Selina Linda Mudavanhu, Christina Baade

Bibliographic record

VenueAfrican Journalism Studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFraming (construction)NewspaperIndigenousNews mediaJournalismNarrative

Abstract

fetched live from OpenAlex

The perceived marginalisation of the Igbo ethnic group of South East Nigeria and the failure of the Nigerian government to pursue peace-building initiatives 50 years after the end of the Nigerian and Biafran civil war are the root causes of the current agitation for the restoration of Biafra by the Indigenous People of Biafra (IPOB). Thus, the present study analysed 120 news stories from The Daily Sun and The Punch newspapers in Nigeria, from 1 January 2017 to 31 December 2022, regarding their coverage of the recent agitation for the restoration of Biafra. Our research examined how these newspapers framed the renewed agitation, what agenda they set in framing the agitation, and the implications of news framing and agenda setting for the audience regarding the ways they view the agitation for the restoration of Biafra by IPOB. The findings revealed that the placement of most news stories about IPOB, Nnamdi Kanu, and other Biafran agitators on the front page of newspapers, especially The Daily Sun, was part of the media's framing and agenda for the restoration of Biafra. The positive framing of Nnamdi Kanu and other Biafran actors, especially in The Daily Sun, may have been the reason for the support the agitation is receiving from Biafrans at home and in the diaspora. In contrast, the Punch newspaper dwelt more on the negative framing of Nnamdi Kanu and other Biafran actors, thus showing resentment from Nigerians who do not want Biafrans to exit from Nigeria.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score1.000

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 communication0.0000.000
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 head0.044
GPT teacher head0.290
Teacher spread0.246 · 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 designQualitative
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

Citations0
Published2025
Admission routes1
Has abstractyes

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