Advanced Clickbait Detection System Using Cognitive Evidences and Ensemble Learning |
Author(s): |
| Atharva Chandwadkar , Gokhale Education Society R. H. Sapat College of Engineering, Management Studies and Research |
Keywords: |
| Clickbait Detection, Cognitive Evidence, Dataset, User Profiling, YouTube |
Abstract |
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Clickbait is a form of fake content that is deliberately designed to attract the user's attention and be intriguing enough to follow links to read, view, and listen to attached content. The purpose of the trailer is to harness curiosity by providing information in short statements. However, the claims made are not enough to click on linked content to invite users to relevant pages, play with human psychology, and satisfy their curiosity without compromising the user experience. To address this issue, we have developed a Clickbait Video Detector (CVD) scheme. |
Other Details |
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Paper ID: IJSRDV10I50236 Published in: Volume : 10, Issue : 5 Publication Date: 01/08/2022 Page(s): 265-271 |
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