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All Journal Prosiding Seminar Nasional Official Statistics
Prasetyo, Nur Cahyo Agung
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Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Analisis Jaringan Dinamis Informasi dan Sentimen Berita Ekonomi Prasetyo, Nur Cahyo Agung; Rahmanto, Andre Noevi; Sudarmo, Sudarmo
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.1946

Abstract

This study examines the dissemination and perception of economic information in Indonesian online media, focusing on detik.com and cnbcindonesia.com. The complexity of economic information presented in online media can hinder public understanding and lead to misinterpretation, which impacts decision-making processes. Using sentiment analysis and Dynamic Network Analysis (DNA), this research aims to understand how news framing influences public perception of economic data, particularly from the Badan Pusat Statistik (BPS). The methodology includes news collection, text preprocessing, and sentiment classification, analyzing news articles published from September to November 2023. The findings reveal a predominance of neutral sentiment in economic reporting, underscoring the importance of accurate and accessible economic reporting for informed decision-making.
Co-Authors Andre Noevi Rahmanto sudarmo sudarmo