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An Analysis of Hate Speech Found In Live Streaming MPL-ID Cup

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ix ABSTRACT

Ahmad Nashel Ismail. 2023. An Analysis of Hate Speech Found In Live Streaming MPL-ID Cup

English Literature Department, Faculty of Humanities

University of Technology Yogyakarta [email protected]

The purpose of this study is to describe the types of hate speech found in live streaming. The method used in collecting data is the documentation method because researchers collect data from live streaming. This research was conducted by collecting data and information relevant to the topic or research problem from books and the internet available for analysis. The results show that 97 sentences consisting of hate speech. This study found out that there are types flaming found 12 items or 12.37%, harassment 10 items or 10.31%, exclusion 12 items or 12.37%, denigration 20 items or 20.62%, impersonation 17 items or 17.53%, outing 10 items or 10.31%, trickery 7 items or 7.22%, and cyber-stalking 9 items or 9.28%. It can be indicated that the dominant type of hate speech in this live stream is denigration.

Denigration involves the dissemination of negative information to tarnish an individual's reputation, and its prevalence poses a significant challenge to maintaining a healthy and inclusive gaming community.

Keywords: hate speech, speech acts, pragmatic

(2)

x ABSTRAK

Ahmad Nashel Ismail. 2023. An Analysis of Hate Speech Found In Live Streaming MPL-ID Cup

Program Studi Sastra Inggris Fakultas Bisnis dan Humaniora Universitas Teknologi Yogyakarta [email protected]

Tujuan dari penelitian ini adalah untuk mendeskripsikan jenis-jenis ujaran kebencian yang terdapat dalam live streaming. Metode yang digunakan dalam pengumpulan data adalah metode dokumentasi karena penulis mengumpulkan data dari live streaming. Penelitian ini dilakukan dengan cara mengumpulkan data dan informasi yang relevan dengan topik atau masalah penelitian dari buku-buku dan internet yang tersedia untuk dianalisis. Hasilnya menunjukkan bahwa 97 kalimat terdiri dari ujaran kebencian. Penelitian ini menemukan jenis flamming ditemukan 12 data atau 12,37%, harassment 10 data atau 10,31%, exclusion 12 data atau 12,37%, denigration 20 data atau 20,62%, impersonation 17 data atau 17,53%, outing 10 data atau 10,31% , trickery 7 data atau 7,22%, dan cyber-stalking 9 data atau 9,28%. Dapat diindikasikan bahwa jenis ujaran kebencian yang dominan dalam siaran langsung ini adalah denigration.

Kata kunci: ujaran kebencian, tindak tutur, pragmatik

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