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Clickbait Detection
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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)
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Prompt-tuning for Clickbait Detection via Text Summarization
BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset
BaitBuster-Bangla: A Comprehensive Dataset for Clickbait Detection in Bangla with Multi-Feature and Multi-Modal Analysis
A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles
Clickbait Detection via Large Language Models
Clickbait Detection in YouTube Videos
Clickbait Headline Detection in Indonesian News Sites using Multilingual Bidirectional Encoder Representations from Transformers (M-BERT)
Clickbait Detection using Multiple Categorization Techniques
Towards Reliable Online Clickbait Video Detection: A Content-Agnostic Approach
Federated Hierarchical Hybrid Networks for Clickbait Detection
The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength
Semi-Supervised Confidence Network aided Gated Attention based Recurrent Neural Network for Clickbait Detection
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection
Using Neural Network for Identifying Clickbaits in Online News Media
Reinforced Co-Training
Heuristic Feature Selection for Clickbait Detection
Clickbait Identification using Neural Networks
A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based Features
Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models
Clickbait Detection in Tweets Using Self-attentive Network
Clickbait detection using word embeddings
Machine Learning Based Detection of Clickbait Posts in Social Media
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks
Diving Deep into Clickbaits: Who Use Them to What Extents in Which Topics with What Effects?
We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.