This study examines virtual public reactions on X regarding BRICS expansion to include three Arab countries: Egypt, Saudi Arabia, and the United Arab Emirates. It uses a deep learning approach for sentiment analysis to understand reactions expressed by individuals in the 22 Arab League countries. The study aims to understand public opinion towards this expansion and assess how it was received at the bottom-internal level. Given the difficulty of measuring public opinion in non-democratic contexts, the study tracks public reaction to the expansion on X. Tweets from August 24, 2023, to January 7, 2024, are analyzed. The methodology involves collecting a large dataset of tweets, cleansing and tokenizing the data, and attributing sentiment scores using specialized Arabic text-processing tools. The results are presented through data visualization and machine learning models, ensuring a comprehensive analysis while addressing ethical considerations. The findings indicate that public sentiment is predominantly neutral (38.91%), compared to positive (31.72%) and negative (30.09%). This highlight concerns about education, political disengagement, and the technical limitations of applying a data science approach to political science research. It also suggests the inherent challenges of using this method to reflect internalization or engagement in the way surveys and referenda can.
