Cognitive, discursive mechanisms of digital democracy in Indonesia: from sentiment to ideology
Abstract
Introduction Digital democracy in Indonesia increasingly unfolds through government-citizen interactions on social media platforms, yet the cognitive-discursive mechanisms underlying citizens’ responses to ministerial communication remain underexplored. This study examines how affective sentiment, ideological crystallization, and linguistic representation shape democratic engagement across social-essential policy sectors. Methods Employing a sequential explanatory mixed-methods design integrating BERT/ALBERT sentiment classification, netnographic interpretation, and corpus linguistics, we analyzed 4,950 Instagram comments posted during April 2025 on the verified accounts of four Indonesian social-essential ministries (Religious Affairs, Education, Health, and Manpower), approximately six months into the “Merah Putih” cabinet’s tenure following its inauguration on 21 October 2024. Results Sentiment analysis revealed substantial sectoral variation: Education received 72% positive sentiment, while Health and Manpower received 32% and 30% negative responses, respectively. Positive-sentiment communities employed gratitude discourse emphasizing governmental achievements, whereas negative-sentiment communities articulated structural critiques focused on inequality and institutional failure. Cross-cutting deliberation remained minimal, with within-sentiment replies outnumbering cross-sentiment replies by a ratio of 20:1, indicating strong echo-chamber dynamics. Corpus linguistic analysis demonstrated that ministerial representation through collocational patterns correlated strongly with sentiment distributions ( ρ = 0.94). Discussion Findings indicate that digital democratic engagement in Indonesia operates through layered cognitive-discursive mechanisms in which initial affective responses filter subsequent ideological positioning, which materializes linguistically in patterns of ministerial representation. The observed echo chamber dynamics, characterized by minimal cross-cutting deliberation, challenge Instagram’s capacity to function as a platform for democratic deliberation. These results contribute to an integrated cognitive-discursive framework linking affective sentiment, ideological crystallization, and linguistic materialization, with implications for digital governance strategies in developing democracies.
Fields of Study & Subjects
Social Media and Politics
Populism
Right-Wing Movements
Sentiment Analysis and Opinion Mining
Publication details
- Journal / source
- Frontiers in Political Science
- Publisher
- Frontiers Media SA
- Volume
- 8
- Publication date
- 30 July 2026
- Language
- EN