INDIKASI UJARAN KEBENCIAN OLEH WARGANET DALAM KOLOM KOMENTAR AKUN TIKTOK @akunissasabyan: KAJIAN LINGUISTIK FORENSIK

Abstract

This study analyzes indications of hate speech by netizens in the comment section of the TikTok account @akunissasabyan. The research was conducted due to the widespread phenomenon of verbal offenses in the comment sections of public figures on social media, which have escalated into hate speech and legal violations. The aim of this study is to identify the types of hate speech and their causes using a forensic linguistic approach. This study applies a qualitative descriptive method to examine netizen comments. Data collection techniques include the observation method with the technique of sorting and selecting speech indications. Data analysis consists of stages of identification, classification, interpretation, and drawing conclusions. The results of this study found 199 instances of hate speech, including: 55 insults, 30 defamations, 43 blasphemies, 4 provocations, 2 incitements, and 24 instances of spreading false news. In addition, types of hate speech causes were also found in 199 cases, including; expressing criticism directly with harsh phrases in 61 cases, driven by emotion in 15 cases, being protective of opinions in 2 cases, intentionally wanting to corner the conversation partner in 106 cases, and making accusations based on suspicion in 15 cases. It is hoped that the findings of this study will provide theoretical contributions to the advancement of linguistic science as well as practical implications for understanding patterns of language-related crimes on social media.