<![CDATA[Hate speech on social media has become an increasingly troubling phenomenon in community life. The rapid development of information and communication technology has led to the faster and wider dissemination of hate speech, with significant impacts on both individuals and groups targeted. This study aims to analyze the forms and patterns of hate speech using forensic linguistic approaches, particularly through lexical and grammatical semantic analysis. The method used is documentation, employing techniques such as reading, note-taking, and classifying tweets considered to contain elements of hate speech on social media, especially TikTok, within the categories of defamation, libel, and provocation. The results show that the most prevalent form of hate speech is insult, followed by libel and provocation. The language used in hate speech often undergoes semantic modification to demean the dignity of individuals, with emphasis on affixation, reduplication, and compositional structures within grammatical frameworks. This research provides important contributions to the development of legal protection policies for victims of hate speech on social media.]]>
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