MASS HYSTERIA OF BTS ARMY FANDOM IN TWITTER

AZARI LAKSMI TANJUNG SARI, Azari Laksmi Tanjung Sari/ALTS (2020) MASS HYSTERIA OF BTS ARMY FANDOM IN TWITTER. Sarjana thesis, State University of Jakarta.

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Abstract

This study focuses on examining mass hysteria in ARMY fandom on Twitter. This study uses descriptive analytical method as the research design in analyzing the classified texts based on J.R. Martin and P.R.R. White’s affect classification in the study of Attitude, and Simon Wessely’s mass hysteria theory. The results of this study is to reveals that words, phrases, sentences, emoticons, photos, and videos that represent mass hysteria according to the main classification in affect and symptoms of mass hysteria. The main classification of affect that shows the most symptoms of mass hysteria are Insecurity: disquiet, Security: confidence, Satisfaction: pleasure, and Happiness: cheering. In determining the symptoms of mass hysteria on fans tweets not only based on the lexis and phrases they use, but also based on emoticons, photos, and videos to convey their feelings or reactions to BTS’s events on Twitter. Them this is seen in the way fans participate in the ARMY fandom which not only used the official hashtag from Bighit Entertainment but also produced their own hashtag for BTS and other fans, besides they also made other works such as fan-edit, fan-art, BTS Universe theory, and others. In conclusion, the mass hysteria phenomenon of BTS ARMY fandom is how the fandom tries to express their affection to BTS and to build BTS’ brand on social media. Keywords: mass hysteria, main classification of affect, hysteria in fandom, Twitter fandom

Item Type:	Thesis (Sarjana)
Additional Information:	1.Rahayu Purbasari, M.Hum. ; 2.Atikah Ruslianti, M.Hum.
Subjects:	Bahasa dan Kesusastraan > Sistem Penulisan dan Ejaan Bahasa dan Kesusastraan > Bahasa Inggris Bahasa dan Kesusastraan > Tata Bahasa Inggris Bahasa dan Kesusastraan > Sastra Inggris
Divisions:	FBS > S1 Sastra Inggris
Depositing User:	Users 4923 not found.
Date Deposited:	28 Sep 2020 10:30
Last Modified:	28 Sep 2020 10:30
URI:	http://repository.unj.ac.id/id/eprint/11138

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