PASYAH, DJORDAN and Saraswati, Erlisa and Rahmawati, Annisa (2023) ANALISIS WACANA BERBASIS KORPUS KOMENTAR PENGGUNA YOUTUBE PADA KONTEN REVIEW SMARTPHONE APPLE IPHONE 14 PRO CHANNEL “GADGETIN” DI INDONESIA. Undergraduate thesis, Sriwijaya University.
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Abstract
"GadgetIn" is one of the channels on the Youtube platform from Indonesia that reviews various technology products such as smartphones, gadgets, laptops, monitors and others. This study aims to analyze discourse with the help of corpus linguistics, to find out and identify the frequency, concordance, and collocation of the appearance of dominant words in the comment column of the "GadgetIn" channel content with the video title "TERLALU BAGUS – Review iPhone 14 Pro Indonesia" and using mixed research methods. Based on the analysis conducted in the period September 29, 2022 – May 2023, 42,334 words used were detected by the AntConc software, from all comments totaling 5.000 comments. The positive or neutral connotation words selected for analysis had a frequency of 996 words, while the negative connotation words selected for analysis had a frequency of 273 words. The results of the study showed, in general, Youtube social media users who commented on Apple iPhone 14 Pro smartphone review content on the "GadgetIn" channel tended to talk about iPhone 14 Pro products using words with positive connotations rather than words with negative connotations. Keywords: Corpus-assisted Discourse Analysis, Discourse, Youtube, GadgetIn, Review content, iPhone 14 Pro.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Analisis Wacana berbasis Korpus, Wacana, Youtube, GadgetIn, Konten ulasan, iPhone 14 Pro |
Subjects: | H Social Sciences > H Social Sciences (General) P Language and Literature > PN Literature (General) > PN1990 Broadcasting |
Divisions: | 07-Faculty of Social and Politic Science > 70201-Communication Science (S1) |
Depositing User: | Djordan Pasyah |
Date Deposited: | 29 Sep 2023 03:40 |
Last Modified: | 29 Sep 2023 03:40 |
URI: | http://repository.unsri.ac.id/id/eprint/129294 |
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