SVM-based approach for detecting misleading online news articles
Since its existence in the 1990s, online news has been the primary source of news content for newsreaders. Unfortunately, based on several findings, readers tend to judge on specific event based on the news headlines rather than its contents. With the advancement of mobile and web technologies, it i...
| Main Authors: | Che Eembi @ Jamil, Normala, Ishak, Iskandar, Sidi, Fatimah, Affendey, Lilly Suriani |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Database Technologies and Applications Research Group (DbTA), Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
2019
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/75521/ http://psasir.upm.edu.my/id/eprint/75521/1/ISICTMA2019-9.pdf |
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