Structural Analysis of the Government-to-Youth (G2Y) Communication Model Using the MICMAC Approach
Abstract
Young people are strategic actors in strengthening public participation and inclusive governance in the digital era. However, Government-to-Youth (G2Y) communication through social media continues to face challenges in establishing responsive and sustainable communication relationships. This study aims to analyze the structural relationships among variables within the G2Y communication model to enhance youth civic engagement through social media. The study employs a quantitative approach using the Matrix of cross-impact multiplication applied to a classification (MICMAC) method to identify the levels of influence (driving power) and dependence (dependence power) among variables. Data were collected through a survey of 100 young respondents who actively use social media and follow official government accounts. The MICMAC analysis results indicate that the alignment of message content with youth needs (V1), trust in government digital actors (V5), and government responsiveness to comments or inquiries (V11) are classified as independent variables with the highest driving power, serving as the main driving factors of the G2Y communication system. Social capital (V13) is categorized as a linkage variable with high influence and dependence, making it a key element in maintaining system dynamics. The findings demonstrate that the effectiveness of G2Y communication is shaped by the interaction between message quality, digital trust, government responsiveness, and social capital strengthening. This study contributes to the development of a structural model of digital government communication through a systemic approach and provides implications for more adaptive and participatory government communication strategies.
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DOI: https://doi.org/10.32509/cyberpr.v6i1.7021
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