The integration of Artificial Intelligence (AI) into political campaigns, particularly through social media platforms, has revolutionized voter behavior influencing mechanisms. This research explores the impact of AI-generated content on public decision-making in the context of the 2024 Indonesian presidential elections, with a specific focus on the Prabowo Subianto and Gibran Rakabuming Raka pair. The study investigates how perceived source slant (PSS), perceived source bias (PSB), and perceived effects of opponents’ news diet (PEOOND) influence political participation likelihood (PPL), drawing upon selective exposure theory. Through a quantitative methodology with an unknown population, the research surveyed 150 Indonesian citizens active on social media. The study reveals significant positive correlations between perceived source slant (PSS), perceived source bias (PSB), perceived effects of opponents’ news diet (PEOOND), and political participation likelihood (PPL). The findings underscore the pivotal role of AI-generated content in shaping political engagement and suggest implications for enhancing voter mobilization strategies in the digital age.