ISLAMIC PREACHING AND AI CONTENT MODERATION: A CRITICAL ANALYSIS OF THE CHALLENGES FACED BY SOCIAL MEDIA PREACHERS

The rapid advancement of digital innovation should be harnessed by Muslims as a vital medium for contemporary da'wah. This study aims to examine the challenges faced by Islamic preachers in conveying their message through social media, particularly when their content is filtered by artificial intelligence (AI) systems employed by major digital platforms such as YouTube, TikTok, and Facebook. Although AI-based content moderation systems are developed to curb the spread of harmful information, they frequently fail to account for religious and cultural contexts, resulting in the unjustified restriction of legitimate da'wah content.This research adopts a qualitative approach, employing content analysis of media reports, user complaints, and previous studies that document cases of da'wah content censorship. The findings indicate that AI-driven censorship stems not only from algorithms trained on biased datasets but is also influenced by user reports and ambiguous platform policies concerning religious content.The study recommends improvements to content moderation systems to make them more contextual, fair, and transparent. It further suggests the active involvement of Islamic institutions and preachers in strengthening digital literacy among da'wah practitioners, enabling them to navigate algorithmic challenges without compromising the fundamental values of da'wah.