Zuhroh, Nurrida Aini
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Clickbait detection: A literature review of the methods used Zuhroh, Nurrida Aini; Rakhmawati, Nur Aini
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 1 (2020): January-June (Articles in press 2/7)
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2365.657 KB) | DOI: 10.26594/register.v6i1.1561

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.
Clickbait detection: A literature review of the methods used Zuhroh, Nurrida Aini; Rakhmawati, Nur Aini
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 1 (2020): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v6i1.1561

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.