Name
Abstract | ||
|---|---|---|
The rise of fake news has been the subject of several research studies in the last decade. This is due to the increasing number of Internet users and the simplicity in posting news over platforms and websites. Hence, researchers have been developing machine learning (ML) models to detect fake contents and warn readers. However, there is a limited number of Arabic fake news datasets in terms of art... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IDSTA53674.2021.9660811 | 2021 Second International Conference on Intelligent Data Science Technologies and Applications (IDSTA) |
Keywords | DocType | ISBN |
Arabic news corpus,fake news detection,machine learning,underfitting,overfitting | Conference | 978-1-6654-2180-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashwaq Khalil | 1 | 0 | 0.34 |
| Moath Jarrah | 2 | 0 | 0.34 |
| Monther Aldwairi | 3 | 0 | 0.34 |
| Yaser Jararweh | 4 | 17 | 1.72 |