| dc.description.abstract | This study analyzes the framing and sentiment of Indonesian online media coverage of the sugar import corruption case involving the former Secretary-General of the Ministry of Trade, Tom Lembong, during the period from late 2024 to mid-2025, focusing on three major news outlets: Detik, Kompas, and Tempo. Framing analysis applies Robert M. Entman’s model, operationalized through the Gemma 3:4b language model using a zero-shot approach, while sentiment analysis is conducted using the IndoRoBERTa model. The results demonstrate high model reliability, indicated by a Mean Confidence of 0.92, Low Confidence of 4.6%, and a Sentiment Entropy of 0.90 bits, with sentiment distribution dominated by the Neutral class (74.05%). Framing consistency is validated through semantic-based metrics, yielding an Intra-frame Similarity of 0.41, an Inter-frame Similarity of 0.68, and a Frame Separability Index of 0.60. Statistical association tests reveal a significant yet moderate relationship between framing and sentiment (χ² = 119,915; p < 0.05; Cramer’s V = 0.33), indicating that framing influences sentiment formation without fully determining the emotional tone of news coverage. Overall, the three online media outlets tend to present the case in a factual and neutral manner, with negative sentiment primarily concentrated in the Moral Judgment frame, underscoring the effectiveness of a large language model–assisted framing analysis for examining how Indonesian media construct narratives around high-profile corruption cases. | en_US |
