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Clickbait Detection

Clickbait detection is the task of identifying clickbait, a form of false advertisement, that uses hyperlink text or a thumbnail link that is designed to attract attention and to entice users to follow that link and read, view, or listen to the linked piece of online content, with a defining characteristic of being deceptive, typically sensationalized or misleading (Source: Adapted from Wikipedia)

Papers

Showing 1120 of 31 papers

TitleStatusHype
Clickbait Detection using Multiple Categorization Techniques0
Towards Reliable Online Clickbait Video Detection: A Content-Agnostic Approach0
Federated Hierarchical Hybrid Networks for Clickbait Detection0
The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength0
Semi-Supervised Confidence Network aided Gated Attention based Recurrent Neural Network for Clickbait Detection0
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection0
Crowdsourcing a Large Corpus of Clickbait on Twitter0
Using Neural Network for Identifying Clickbaits in Online News MediaCode0
Reinforced Co-Training0
Heuristic Feature Selection for Clickbait Detection0
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