Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Evaluating the Performance of a Fake News Model on A Domain-Specific and Heterogeneous Dataset to Improve Detection

2025Journal of TechniquesJournalOpen access

10.51173/jt.v7i2.2640 Full text0 citations

Authors

3 authors.

Georgina ObuandikeFirst author
- Federal University of Technology Minna (NG)
Emmy Danny Ajik
- Federal University of Technology Minna (NG)
Faith Oluwatosin EchobuSenior author
- 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 · 0.94

Sources

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

openalexseen September 9, 2026
2025 · Journal of Techniques · 0 citations
https://openalex.org/W4412045372

Evaluating the Performance of a Fake News Model on A Domain-Specific and Heterogeneous Dataset to Improve Detection · Sankore