<![CDATA[The rapid development of machine learning and generative artificial intelligence has transformed the production, circulation, and interpretation of digital media. Machine learning-generated synthetic media, including deepfakes and AI-manipulated content, creates new communication opportunities while challenging information authenticity and credibility. This study examines the relationship between synthetic media, media manipulation, and public trust through Islamic ethical and strategic communication perspectives. It employs a qualitative integrative literature review combined with thematic and conceptual analysis of interdisciplinary literature on artificial intelligence, communication, public trust, strategic communication, marketing, halal communication, and Islamic ethics. The analysis identifies four interconnected dimensions: synthetic media as a mechanism of media manipulation; epistemic uncertainty as a pathway affecting public trust; declining authenticity as a challenge for strategic and marketing communication; and Islamic ethical principles as foundations for responsible AI-mediated communication. The synthesis indicates that synthetic media may undermine trust beyond direct deception by increasing uncertainty about the authenticity of digital content, potentially affecting confidence in news, sources, media institutions, and communication environments. The study identifies ṣidq, amānah, tabayyun, ‘adl, ḍarar, and maṣlaḥah as complementary ethical principles and proposes the Islamic Ethical Trust Framework for Synthetic Media (IET-SM). The framework emphasizes alignment among technological capability, communicative credibility, ethical responsibility, and public welfare.]]>
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