Abstract

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.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalRegister: Jurnal Ilmiah Teknologi Sistem Informasi
Volume6
Issue number1
DOIs
Publication statusPublished - 2020

Keywords

  • Clikbait
  • Deep learning
  • Literature review
  • Machine learning
  • Word embedding

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