Digital Discourse Forensics: The Configuration of Hate Speech in The Instagram Interaction Space of Bobby Nasution’s Account
Keywords:
Hate Speech;, Forensic Linguistics;, Social Media;, Bobby Nasution;, UU ITE;Abstract
This research describes the forms of hate speech in the comment section of the Instagram account @bobbynst and analyzes its legal implications through a forensic linguistic perspective. The phenomenon of the online disinhibition effect is considered to trigger the abuse of freedom of speech into massive verbal attacks that damage public space ethics. Using a qualitative descriptive method, data were collected through systematic screenshot documentation and analyzed using the identity method with orthographic identity techniques. The research results reveal an escalation of aggressive language in three main typologies: the use of taboo words, the spread of slander, and professional insults. Peyorative insults such as "TOLOL" and "babi" were found as instruments of dehumanization, as well as narratives of corruption allegations without evidence as a strategy for delegitimizing power. Forensically, these utterances indicate a malicious intent (mens rea) to carry out character assassination. These findings confirm that such communication patterns have strong potential to fulfill the criminal elements of defamation, insults, and provocation as regulated in the ITE Law. The study concludes that strengthening digital literacy and law enforcement based on objective linguistic evidence is crucial to maintaining the integrity and harmonization of communication on social media.
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