UJARAN KEBENCIAN DALAM CUITAN TWITTER (X) WARGANET PADA INFLUENCER GITASAV (KAJIAN LINGUISTIK FORENSIK)

SHAZA ZAHRA HANIFAH, . (2024) UJARAN KEBENCIAN DALAM CUITAN TWITTER (X) WARGANET PADA INFLUENCER GITASAV (KAJIAN LINGUISTIK FORENSIK). Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

*******ABSTRAK****** Penelitian ini bertujuan menyelidiki ujaran kebencian dalam cuitan Twitter (X) warganet terhadap influencer Gitasav. Fokus penelitian mencakup bentuk-bentuk ujaran kebencian, makna yang terkandung, dan potensi pidana dalam bahasa tersebut di media sosial Twitter (X). Menggunakan metode penelitian deskriptif kualitatif, penelitian ini memusatkan subjek pada ujaran kebencian dalam cuitan Twitter (X) yang membahas Gitasav. Tahapan penelitian mencakup (1) pencarian cuitan dengan kata kunci spesifik terkait Gitasav, (2) pembacaan dan observasi cuitan warganet, (3) pembuatan lembar data, dan (4) pengumpulan 21 data ujaran kebencian yang beragam. Hasil temuan menunjukkan variasi dalam bentuk ujaran kebencian, seperti penghinaan ringan, fitnah, pencemaran nama baik, dan provokasi. Kesimpulan penelitian mengindikasikan bahwa ujaran kebencian dapat berwujud dalam 4 bentuk, termasuk penghinaan ringan, fitnah, pencemaran nama baik, dan provokasi. Dari 21 data, 19 berkategori penghinaan ringan, 4 fitnah, 2 pencemaran nama baik, dan 3 provokasi. Pengucapan ujaran kebencian pada akun Twitter (X) warganet kepada Gitasav memiliki konotasi negatif, mengandung kata makian atau tuduhan tidak dapat dibuktikan. ******ABSTRAK**** This research aims to investigate hate speech in Twitter (X) posts (X) by netizens towards the influencer Gitasav. The research focuses on the forms of hate speech, the meanings conveyed, and the potential criminal aspects of this language on theTwitter (X) social media platform. Utilizing a descriptive qualitative research method, this study centers on hate speech in Twitter (X) posts discussing Gitasav. The research stages include (1) searching for posts using specific keywords related to Gitasav, (2) reading and observing netizens' posts, (3) creating data sheets, and (4) collecting 21 diverse data points of hate speech. The findings reveal variations in the forms of hate speech, including mild insults, defamation, character assassination, and provocation. The research concludes that hate speech can manifest in four forms, encompassing mild insults, defamation, character assassination, and provocation. Out of the 21 data points, 19 fall into the category of mild insults, 4 are defamation, 2 involve character assassination, and 3 are provocation. Expressions of hate speech on netizens' Twitter (X) accounts towards Gitasav carry a negative connotation, containing curses or unverifiable accusations.

Item Type: Thesis (Sarjana)
Additional Information: 1) Drs. Krisanjaya, M.Hum. 2) Dr. Asep Supriyana, S.S., M.Pd.
Subjects: Bahasa dan Kesusastraan > Linguistik
Bahasa dan Kesusastraan > Bahasa Indonesia
Divisions: FBS > S1 Sastra Indonesia
Depositing User: Users 21370 not found.
Date Deposited: 05 Mar 2024 01:58
Last Modified: 05 Mar 2024 01:58
URI: http://repository.unj.ac.id/id/eprint/45117

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