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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.

A Machine Learning Approach to Fake News Detection Using Support Vector Machine (SVM) and Unsupervised Learning Model

2023Advances in Multidisciplinary & Scientific Research Journal PublicationJournalOpen access

10.22624/aims/csean-smart2023p1 Full text4 citations

Authors

6 authors.

I.G. HoseaFirst author
V.O. Waziri
I. Ismaila
Joseph A. Ojeniyi
as printed: J. Ojeniyi
Morufu OlalereCorresponding
- Federal University of Technology Minna (NG)
as printed: M. Olalere
O. AdebayoSenior authorCorresponding
- Federal University of Technology Minna (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
Sentiment Analysis and Opinion Mininglevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2023 · Advances in Multidisciplinary & Scientific Research Journal Publication · 4 citations
https://openalex.org/W4383652550

A Machine Learning Approach to Fake News Detection Using Support Vector Machine (SVM) and Unsupervised Learning Model · Sankore