<![CDATA[The rapid development of Artificial Intelligence (AI) has transformed digital political communication, particularly through the emergence of AI chatbots capable of conducting personalized, adaptive, and real-time conversational interactions. This study aims to analyze the influence of AI chatbots on political opinion formation and public trust within the context of digital political communication. The study employed a quantitative approach using a between-subjects experimental design involving 210 active digital media users divided into experimental and control groups. The experimental group received political information through interaction with an AI chatbot, while the control group received the same information in a conventional non-interactive text format. Data were collected using a Likert-scale questionnaire and analyzed through validity, reliability, descriptive statistical analysis, and independent sample t-testusing IBM SPSS Statistics version 26. The findings indicate that the experimental group demonstrated higher levels of political opinion and public trust compared to the control group. The differences were statistically significant for political opinion (t = 5.87; p < 0.05) and public trust (t = 5.21; p < 0.05). The study reveals that the dialogic and personalized characteristics of chatbot communication enhance user engagement in digital political communication. Furthermore, AI chatbots have the potential to reinforce confirmation bias through algorithmic information personalization. This study confirms that AI chatbots have evolved into political communication actors capable of shaping political opinion and public trust in contemporary digital democracy.]]>
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