Indikasi Kejahatan Berbahasa pada Kolom Komentar Unggahan Akun Instagram Official Lambe Turah Entrnt (Pendekatan Linguistik Forensik)
Abstract
Penelitian ini bertujuan untuk menganalisis kejahatan berbahasa yang ditemukan dalam komentar di akun Instagram resmi Lambe Turah Entrnt dengan menggunakan pendekatan linguistik forensik. Metode yang dipakai berupa analisis deskriptif kualitatif, meliputi tahapan pengumpulan data dari komentar pengguna, pencatatan data, dan analisis deskriptif untuk mengidentifikasi pola-pola kejahatan berbahasa. Hasil dari studi ini menunjukkan bahwa terdapat tujuh jenis kejahatan berbahasa yang berhasil dikenali dalam komentar selama periode 21 Desember 2024 hingga 18 Februari 2025, yaitu: 1) pencemaran nama baik (dengan lima variasi bentuk), 2) ujaran kebencian (dengan lima variasi bentuk), 3) penghasutan (dengan lima variasi bentuk), 4) pembohongan (dengan dua variasi bentuk), 5) ancaman (dengan satu variasi bentuk), 6) kekerasan (dengan lima variasi bentuk), dan 7) pelecehan online (dengan empat variasi bentuk). Penelitian ini menegaskan pentingnya penerapan hukum serta kebijakan moderasi yang lebih ketat di platform media sosial guna melindungi individu dari pengaruh merugikan dari kejahatan berbahasa. Disarankan agar media sosial lebih proaktif dalam menciptakan lingkungan digital yang aman dan sehat, sehingga dapat meminimalisir risiko terkait pencemaran nama baik, ujaran kebencian, dan bentuk kejahatan berbahasa lainnya. Dari hasil penelitian ini dapat disimpulkan bahwa kejahatan berbahasa di media sosial, terutama di akun Lambe Turah Entrnt, memiliki dampak yang cukup besar baik bagi individu maupun masyarakat secara umum. Keberagaman bentuk kejahatan berbahasa ini menunjukkan perlunya perhatian yang lebih besar terhadap isu ini. Dengan meningkatkan kesadaran mengenai dampak negatif dari kejahatan berbahasa dan menerapkan kebijakan ketat, langkah-langkah tersebut dapat membantu melindungi pengguna media sosial sekaligus memperkuat interaksi yang lebih positif di platform digital.
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