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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

“WE WILL TAKE BACK OUR COUNTRY FROM BAD GOVERNANCE”: A CORPUS-ASSISTED CRITICAL DISCOURSE STUDY OF CAMPAIGN TWEETS IN THE 2023 NIGERIAN PRESIDENTIAL ELECTION

2026Филолог – часопис за језик књижевност и културуJournalOpen access

10.21618/fil2633576e Full text0 citations

Authors

2 authors across 2 institutions in 1 country.

Uzoma OkoroFirst author
- Pan-Atlantic University (NG)
as printed: Okoro Elizabeth Egwu
Adesina B. SundaySenior author
- University of Ibadan (NG)
as printed: Sunday Adesina B.

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Discourse Analysis in Language Studieslevel 3 · 0.25
Social Media and Politicslevel 3 · 0.03
African Education and Politicslevel 3 · 0.02

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · Филолог – часопис за језик књижевност и културу · 0 citations
https://openalex.org/W7165794589

“WE WILL TAKE BACK OUR COUNTRY FROM BAD GOVERNANCE”: A CORPUS-ASSISTED CRITICAL DISCOURSE STUDY OF CAMPAIGN TWEETS IN THE 2023 NIGERIAN PRESIDENTIAL ELECTION · Sankore