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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.

An Ensemble Machine Learning Approach for Fake News Detection and Classification Using a Soft Voting Classifier

2022European Journal of Electrical Engineering and Computer ScienceJournalOpen access

10.24018/ejece.2022.6.2.409 Full text14 citations

Authors

4 authors across 4 institutions in 1 country.

Y. B. LasotteFirst author
- Abubakar Tafawa Balewa University (NG)
- Federal University of Technology (NG)
Etemi Joshua Garba
- Modibbo Adama University of Technology (NG)
as printed: E. J. Garba
Yusuf Musa Malgwi
- Modibbo Adama University of Technology (NG)
as printed: Y. M. Malgwi
M. A. BuhariSenior author
- Nigerian Meteorological Agency (NG)

Fields

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

Misinformation and Its Impactslevel 3 · 1.00
Spam and Phishing Detectionlevel 3 · 0.99
Advanced Malware Detection Techniqueslevel 3 · 0.94

Sources

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

openalexseen September 9, 2026
2022 · European Journal of Electrical Engineering and Computer Science · 14 citations
https://openalex.org/W4221104639

An Ensemble Machine Learning Approach for Fake News Detection and Classification Using a Soft Voting Classifier · Sankore