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Clickbait detection: A literature review of the methods used

Register: Jurnal Ilmiah Teknologi Sistem Informasi

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Title Clickbait detection: A literature review of the methods used
 
Creator Zuhroh, Nurrida Aini
Rakhmawati, Nur Aini
 
Subject clikbait; deep learning; literature review; machine learning; word embedding
 
Description Online news portals are currently one of the fastest sources of information used by people. Its impact is due to the credibility of the news produced by actors from the media industry, which is sometimes questioned. However, one of the problems associated with this medium used to obtain information is clickbait. This technique aims to attract users to click hyperbolic headlines with content that often disappoints the reader. This study was, therefore, conducted to determine: 1) existing dataset available. 2) The method used in clickbait detection which consists of data preprocessing, analysis of features, and classification. 3) Difference steps from the method used.
 
Publisher Information Systems - Universitas Pesantren Tinggi Darul Ulum
 
Contributor —
 
Date 2020-01-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.unipdu.ac.id/index.php/register/article/view/1561
10.26594/register.v6i1.1561
 
Source Register: Jurnal Ilmiah Teknologi Sistem Informasi; Vol 6, No 1 (2020): January; 1-10
Register: Jurnal Ilmiah Teknologi Sistem Informasi; Vol 6, No 1 (2020): January; 1-10
2502-3357
2503-0477
10.26594/register.v6i1
 
Language eng
 
Relation https://journal.unipdu.ac.id/index.php/register/article/view/1561/pdf
 
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