Contemporary Islam in AI Narratives

Abstract / Description This dataset and code repository accompany the study on Contemporary Islam in AI Narratives, investigating how large language models portray Islamic concepts, practices, and discourses. Utilizing computational text analysis methods—including word frequency distribution, topic modeling, sentiment polarity analysis, algorithmic calculations, and thematic clustering—this project evaluates AI-generated representations produced by large language models such as GPT-5.2 and Gemini 3-Pro Preview. Key analytical themes explored in this repository include: The discursive narratives of AI and the question of being Islamic -explains why the term ‘Islamic’ appears to be the most frequent word in the corpus The lexicon patterns of the AI-generated text-explores the AI-generated texts and their prioritizations Algorithmic Loop of Reverberation-examines how the AI-examine how the AI-generated text reproduces patterns of representation of Islam and Muslims Repository Content & Links GitHub Repository: etinanwar/Contemporary-Islam-in-AI-Narratives Release Version: v1.0 Commit History