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All Journal Building of Informatics, Technology and Science Jurnal Inovasi dan Teknologi Pembelajaran (JINOTEP) Kajian dan Riset Dalam Teknologi Pembelajaran U-NET Jurnal Teknik Informatika Bulletin of Information Technology (BIT) Journal of Computer Science and Information Systems (JCoInS) Journal of Student Development Information System (JoSDIS) J-COSCIS : Journal of Computer Science Community Service Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Bisantara Informatika
Dalimunthe, Abdul Hakim
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Library & Information Science Social Sciences

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Journal : Bulletin of Information Technology (BIT)

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A Text Mining Approach to Analyzing the Role of Negative Sentiment Words in News Articles on Suicide and Related Incidents Subagio, Selamat; Samsir, Samsir; Dalimunthe, Abdul Hakim; Ronal Watrianthos
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1745

Abstract

This study examines the role of negative sentiment words in news media coverage of suicide and related incidents through analysis of 1,515 news articles published between 2019 and 2024. Using advanced text mining techniques and sentiment analysis, we investigated patterns in emotional language use and their impact on public discourse. The research revealed frequent usage of negative sentiment words such as "crisis" (256 occurrences), "despair" (214 occurrences), and "death" (189 occurrences), which significantly influenced the emotional framing of these sensitive topics. Statistical analysis showed strong correlations between negative sentiment words and mental health-related terms (correlation value 0.75), indicating consistent patterns in media narrative construction. Temporal analysis identified a notable increase in negative sentiment during the COVID-19 pandemic (2020-2021), followed by a shift toward more solution-focused coverage in 2022-2024. The findings suggest that while negative sentiment words are inherent in covering suicide-related topics, their use can be balanced with solution-oriented language to promote more responsible reporting. This research contributes to understanding how emotional language shapes public discourse on mental health crises and provides insights for developing more effective guidelines for responsible journalism.
Co-Authors Basyarul Ulya Has, Syahnila Natasya Hilman Taufik, Riski Nurjannah Kusmanto Kusmanto Maisyaroh, Nadilatul Marpaung, Radinda Tamara Ayu Misman Nasution, Juni Anggriyani Nasution, Nur Hayati Rahmad Aditiya Rahmad Aditya Rambe, Ade Nopriansyah Rambe, Nur Belila Rambe, Nurhabibah Ritonga, Sahbuki Ronal Watrianthos Samsir Samsir Samsir, Samsir Sangkot Idris Ritonga Sari, Sindi Uba Siagian, Taufiqqurrahman Siagian, Taufiqqurrahman Nur Siregar, Eka Maya Putri Subagio, Selamat Subagio, Selamet Wahyu Azhar Ritonga