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All Journal Jurnal Agregasi Media Bahasa, Sastra, dan Budaya Wahana Jurnal Komunikasi Universitas Garut: Hasil Pemikiran dan Penelitian Dewantara: Jurnal Pendidikan Sosial Humaniora Jurnal Pendidikan dan Ilmu Sosial Mimbar Administrasi Jurnal Pendidikan dan Sosial Humaniora
Olih Solihin
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Religion Arts Humanities Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : Jurnal Pendidikan dan Ilmu Sosial

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Pemanfaatan AI dalam Analisis Isi Digital : Studi Kasus Komentar Media Sosial Olih Solihin; Dwi Firmansyah; Ahmad Zakki Abdullah; Ahmad Prawira Dhahiyat
JURNAL PENDIDIKAN DAN ILMU SOSIAL (JUPENDIS) Vol. 3 No. 2 (2025): JURNAL PENDIDIKAN DAN ILMU SOSIAL
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jupendis.v3i2.3141

Abstract

In the digital era, social media has become a primary source of public opinion data that can be analyzed using artificial intelligence (AI). The utilization of AI, particularly in digital content analysis, enables researchers to extract information from social media comments more efficiently than conventional methods. This study aims to explore how AI is used in digital content analysis to understand communication patterns, sentiment, and discourse development on social media. The research employs a systematic analysis based on the PRISMA approach, filtering literature from academic databases such as Scopus, Web of Science, and Google Scholar. Additionally, this study analyzes social media comments using AI-based software, such as NVivo and other NLP tools. The findings reveal that AI enhances efficiency and accuracy in sentiment analysis, reduces subjective bias, and enables deeper insights into public opinion. However, key challenges identified include dataset bias and the interpretability of AI models. Therefore, the combination of Explainable AI and a multimodal approach in the future is expected to improve the effectiveness of AI-based sentiment analysis in digital communication.
Co-Authors Ahmad Prawira Dhahiyat Ahmad Zakki Abdullah Ariq Asykarulloh Dwi Firmansyah Efendi Agus Waluyo Euis Nurul Bahriyah Fajarina Fajarina Farida Hariyati Gilang Fathur Ramdhan Azhari Ismia Unasian Sari Maulana Irfan Mia Nurmiarani Muslim Muslim Safutra Rantona Stella Sabrina Yasundari Yasundari Yasundari Yasundari Yuni Mogot