Representasi Wacana Satire Politik Berbasis Artificial Intelligence di TikTok (Analisis Wacana Kritis Konten AI Satire Politik pada Akun TikTok @becandAIn)
Nurul Hikmah, Prof. Dr. Phil. Ana Nadhya Abrar, M.E.S.
2026 | Tesis | S2 Ilmu Komunikasi
AI-based political satire content on TikTok signifies a shift in political communication practices within
digital spaces, where political critique is no longer conveyed solely by humans but increasingly through
sarcastic humor and AI-generated visualizations. This study analyzes how AI-based political satire
discourse on the TikTok account @becandAIn functions as a political communication practice in digital
space. It employs a qualitative approach within a critical paradigm, using Norman Fairclough's Critical
Discourse Analysis (CDA) alongside Bruno Latour's Actor-Network Theory to examine two TikTok videos
purposively selected for their AI-based audio-visual elements and political satire narratives. The findings
show that AI functions as a mediator that constructs synthetic visual and vocal representations, distancing
creators from the objects of their critique, so that critique toward corruption enforcement and social-aid
distribution appears ambiguous yet relatively safe to circulate. The study identifies a critical essence: the
virality and reach both videos achieved were attained precisely through the stripping away of an accountable
critical subject and the conversion of collective public energy into platform engagement metrics, rather than
political pressure directed at those in power. AI-based political satire discourse thus operates ambivalently
expanding the capacity to articulate critique outside formal media channels, while simultaneously being
absorbed into platform logic as a form of symbolic resistance that does not threaten the stability of the
power it critiques.
Kata Kunci : Wacana Satire Politik, Artificial Intelligence (AI), Analisis Wacana Kritis, TikTok, Actor Network Theory / Political Satire Discourse, Artificial Intelligence (AI), Critical Discourse Analysis, TikTok, Actor Network Theory.