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Abstract

Background: AI-generated synthetic media threatens democratic consolidation, but most evidence is Western, video-centred, and rarely models citizens' political attitudes.


Objective: To examine how illusion of authenticity, confirmation-bias acceleration, and Liar's Dividend perceptions relate to democratic cynicism among Indonesian voters, including mediation by confirmation bias and moderation by synthetic-media literacy.


Methods: A nested mixed-methods design combined computational extraction of 4,200 synthetic-media items, a cross-sectional survey of 3,000 adults across three Indonesian urban centres, and digital ethnography with 50 key informants.


Results: Cloned audio was trusted by 76.2% of respondents but detected by only 11.5%. Authenticity illusion, confirmation bias, and Liar's Dividend perception predicted cynicism, explaining 33.0% of variance. Confirmation bias partially mediated the authenticity-cynicism pathway; literacy lowered cynicism but did not buffer the pathway.


Conclusion: The findings extend deepfake scholarship to oral, messaging-centred Global-South publics and support targeted electoral-integrity policy.

Keywords

Confirmation bias Deepfakes Democratic cynicism Epistemic trust Indonesia

Article Details

How to Cite
Pasaribu, Y. M., & El-Hussaini, A. (2026). Synthetic Reality and the Erosion of Epistemic Trust: Deepfake Misinformation, Confirmation Bias, and Democratic Cynicism Among Indonesian Voters. Open Access Indonesia Journal of Social Sciences, 9(3), 129-137. https://doi.org/10.37275/oaijss.v9i3.326