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All Journal Jurnal Ilmiah Edunomika (JIE) International Journal of Teaching and Learning (INJOTEL)
Rukoyah
Universitas Pattimura, Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Other

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BUILDING GENDER SENSITIVE ATTITUDES: GENDER EQUALITY IN THE WORLD OF EDUCATION Muhtar; Rukoyah; Pahar Kurniadi
International Journal of Teaching and Learning Vol. 1 No. 9 (2024): International Journal of Teaching and Learning (INJOTEL)
Publisher : Adisam Publisher

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Abstract

One of the demands on the world of education today is justice and gender equality, both in the aspects of access, quality and relevance as well as in the aspect of educational management. The gap in the field of education has become a major factor that greatly influences other fields in Indonesia, almost all sectors, such as employment, positions, roles in society, to the problem of voicing opinions between men and women which is a factor causing gender bias is due to factors Unequal educational gaps are in addition to classic problems that tend to justify injustice, such as the textual interference of religious texts and other socio-cultural obstacles. Various forms of gender disparities that occur in various areas of social life are also presented in the world of education. In fact, educational processes and institutions are seen to play a major role in socializing and perpetuating the values and perspectives that underlie the emergence of various gender inequalities in society.
THE IMPACT OF POLITICAL DEEPFAKE CONTENT ON DECLINING PUBLIC TRUST: A QUANTITATIVE ANALYSIS OF FIRST-TIME VOTERS ON SOCIAL MEDIA Restu Widyo Sasongko; Samuel Indrayana; Epiphani Imelda Yosephin Palit; Rukoyah; Sandra Ivonnie Telussa
JURNAL ILMIAH EDUNOMIKA Vol. 10 No. 2 (2026): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v10i2.19965

Abstract

The evolution of artificial intelligence has given rise to the deepfake phenomenon, a deep learning algorithm-based audio-visual manipulation capable of producing highly realistic political disinformation. This study aims to quantitatively examine the impact of exposure to political deepfake content on social media on the decline of public trust, with a specific focus on the segment of first -time voters. Based on the theoretical foundation of Information Processing Theory and the concept of Liar's Dividend, first-time voters are identified as the most vulnerable group and active consumers of digital political information (Chesney & Citron, 2019). This study uses a quantitative approach with an explanatory survey method on a sample of first-time voters spread across several urban areas. Primary data were collected through a structured Likert-scale questionnaire and analyzed using the Structural Equation Modeling (SEM) method based on Partial Least Squares (PLS). The results are expected to show that the frequency of exposure and the perceived realism of political deepfake content have a significant negative influence on first-time voters' trust in political institutions and the integrity of the general election process. The manipulative nature of content not only degrades trust in specific political figures but also fuels systemic skepticism that undermines democratic legitimacy (Vaccari & Chadwick, 2020). These findings provide an important contribution to the growing literature on digital disinformation and urge policymakers to formulate new regulatory and media literacy frameworks to protect the integrity of young voters in the attention economy.
Co-Authors Epiphani Imelda Yosephin Palit Muhtar Muhtar Pahar Kurniadi Restu Widyo Sasongko Samuel Indrayana Sandra Ivonnie Telussa