AI-Powered Political Messaging: Automated Persuasion and the 2024 Indonesian Election

Abstract

This study investigates the deployment of AI-powered political messaging during the 2024 Indonesian election, focusing on how automated persuasion technologies reshape campaign communication, voter influence, and democratic integrity. As political actors increasingly adopt generative AI tools, chatbots, and algorithmic content creation, the production and dissemination of campaign messages have become faster, personalized, and potentially more manipulative. This research examines the strategies and impacts of AI-driven political messaging, including automated targeting, deepfake-enabled persuasion, and large-scale content amplification through bots and coordinated networks. Employing a mixed-methods approach, the study combines digital trace analysis of social media campaign outputs, computational detection of AI-generated content, and qualitative interviews with political communication professionals, platform moderators, and civil society observers. The findings reveal that AI-powered messaging has significantly increased the volume and speed of political content, enabling micro-targeting and emotionally tailored narratives that can exploit voter biases and reduce deliberative engagement. The study also finds evidence of strategic use of AI-generated visuals and text to blur the boundaries between authentic and fabricated political communication, raising concerns about transparency, accountability, and electoral fairness. The novelty of this research lies in its empirical examination of AI-driven political persuasion within Indonesia’s electoral context, providing one of the first systematic analyses of AI-mediated campaigning in Southeast Asia. The contribution of the study is to advance understanding of how automation transforms political messaging ecosystems and to propose a conceptual framework for assessing AI’s democratic risks and opportunities. The study concludes that safeguarding electoral integrity requires stronger AI disclosure policies, platform governance, and public digital literacy, and recommends multi-stakeholder collaboration to monitor and regulate AI-driven political communication in Indonesia.