A semantic analysis of clickbait news headlines on Malaysian alternative online news portals

The expanding realm of online media has provided fertile ground for the proliferation of clickbait techniques within the Malaysian media landscape. This paper is an investigation into the mechanics of clickbait headlines on Malaysian alternative news portals: World of Buzz, SAYS, and Free Malaysia T...

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Main Author: Chen, Jia Yee
Format: Final Year Project / Dissertation / Thesis
Published: 2024
Subjects:
Online Access:http://eprints.utar.edu.my/6503/1/2002274_FYP.pdf
http://eprints.utar.edu.my/6503/
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spelling my-utar-eprints.65032024-08-07T07:48:17Z A semantic analysis of clickbait news headlines on Malaysian alternative online news portals Chen, Jia Yee H Social Sciences (General) HT Communities. Classes. Races JA Political science (General) JC Political theory The expanding realm of online media has provided fertile ground for the proliferation of clickbait techniques within the Malaysian media landscape. This paper is an investigation into the mechanics of clickbait headlines on Malaysian alternative news portals: World of Buzz, SAYS, and Free Malaysia Today using Biyani et al. (2016) and Pujahari and Sisodia (2020)’s Clickbait Categorization Framework. 30 clickbait headlines from articles published between January 2019 and December 2023 were selected, compiled, and semantically analyzed to identify recurring and prevalent patterns of linguistic features. The research findings reported that all headlines exhibit traits of multiple types simultaneously, and that “Teasing and Ambiguous” are the most common pairing identified. All other identified combined categories also originate from this foundational combination. It was also found that clickbait headlines are more prevalent in soft news compared to hard news. Moreover, findings conclude that the five main features of clickbait headlines, as deduced from this research, include (1) the use of the direct address technique, (2) integration of listicles, (3) dependance on emotional appeal, (4) utilization of rhetorical questions and (5) the application of capitalization. The implications of this study underscore the dynamic composition of clickbait headlines by local journalists, revealing both differences and similarities in writing styles between them and those from foreign countries. This enhances comprehension regarding the linguistic features used and the semantic relationship among these features in aiding the writers to convey the intended message and to entice readers to engage with the full article. 2024-01 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6503/1/2002274_FYP.pdf Chen, Jia Yee (2024) A semantic analysis of clickbait news headlines on Malaysian alternative online news portals. Final Year Project, UTAR. http://eprints.utar.edu.my/6503/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic H Social Sciences (General)
HT Communities. Classes. Races
JA Political science (General)
JC Political theory
spellingShingle H Social Sciences (General)
HT Communities. Classes. Races
JA Political science (General)
JC Political theory
Chen, Jia Yee
A semantic analysis of clickbait news headlines on Malaysian alternative online news portals
description The expanding realm of online media has provided fertile ground for the proliferation of clickbait techniques within the Malaysian media landscape. This paper is an investigation into the mechanics of clickbait headlines on Malaysian alternative news portals: World of Buzz, SAYS, and Free Malaysia Today using Biyani et al. (2016) and Pujahari and Sisodia (2020)’s Clickbait Categorization Framework. 30 clickbait headlines from articles published between January 2019 and December 2023 were selected, compiled, and semantically analyzed to identify recurring and prevalent patterns of linguistic features. The research findings reported that all headlines exhibit traits of multiple types simultaneously, and that “Teasing and Ambiguous” are the most common pairing identified. All other identified combined categories also originate from this foundational combination. It was also found that clickbait headlines are more prevalent in soft news compared to hard news. Moreover, findings conclude that the five main features of clickbait headlines, as deduced from this research, include (1) the use of the direct address technique, (2) integration of listicles, (3) dependance on emotional appeal, (4) utilization of rhetorical questions and (5) the application of capitalization. The implications of this study underscore the dynamic composition of clickbait headlines by local journalists, revealing both differences and similarities in writing styles between them and those from foreign countries. This enhances comprehension regarding the linguistic features used and the semantic relationship among these features in aiding the writers to convey the intended message and to entice readers to engage with the full article.
format Final Year Project / Dissertation / Thesis
author Chen, Jia Yee
author_facet Chen, Jia Yee
author_sort Chen, Jia Yee
title A semantic analysis of clickbait news headlines on Malaysian alternative online news portals
title_short A semantic analysis of clickbait news headlines on Malaysian alternative online news portals
title_full A semantic analysis of clickbait news headlines on Malaysian alternative online news portals
title_fullStr A semantic analysis of clickbait news headlines on Malaysian alternative online news portals
title_full_unstemmed A semantic analysis of clickbait news headlines on Malaysian alternative online news portals
title_sort semantic analysis of clickbait news headlines on malaysian alternative online news portals
publishDate 2024
url http://eprints.utar.edu.my/6503/1/2002274_FYP.pdf
http://eprints.utar.edu.my/6503/
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score 13.18916