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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.

Machine Learning Approaches for Detecting and Mitigating the Impact of Fake News in Online Information Ecosystems

2024Publication

10.1109/seb4sdg60871.2024.10630248 Full text0 citations

Authors

6 authors across 3 institutions in 1 country.

Temitayo BalogunFirst author
- Federal University of Technology (NG)
as printed: Temitayo Elijah Balogun
Samson A. Abosede
- Michael Okpara University of Agriculture (NG)
- Federal University of Technology (NG)
as printed: Samson Adebowale Abosede
Shade Christiana Joda
- Michael Okpara University of Agriculture (NG)
- Federal University of Technology (NG)
Oluwaseyifunmi Balogun
- Obafemi Awolowo University (NG)
P.K. Olotu
- Federal University of Technology (NG)
as printed: Paul Kehinde Olotu
Samuel FaluyiSenior author
as printed: Samuel Gbenga Faluyi

Fields

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

Misinformation and Its Impactslevel 3 · 0.95

Sources

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

openalexseen September 9, 2026
2024 · 0 citations
https://openalex.org/W4401608581

Machine Learning Approaches for Detecting and Mitigating the Impact of Fake News in Online Information Ecosystems · Sankore