Title
Clickbait in Social Media: Detection and Analysis of the Bait
Abstract
Taking advantage of visual-centric social media's rising popularity, content creators have started using enticing images to lure users into clicking on bothersome clickbaits, in place of previously used text-based baits. In addition, the development of a single model to detect clickbait on multiple image-centric social media platforms is largely an unexplored problem. Therefore, we introduce a nov...
Year
DOI
Venue
2021
10.1109/CISS50987.2021.9400293
2021 55th Annual Conference on Information Sciences and Systems (CISS)
Keywords
DocType
ISBN
Support vector machines,Visualization,Social networking (online),Multimedia Web sites,Blogs,Stacking,Real-time systems
Conference
978-1-6654-1268-1
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Mini Jain100.68
Peya Mowar200.68
Ruchika Goel300.34
Dinesh K. Vishwakarma400.34