The Role of Artificial Intelligence in Exploring Gender Disparities in Engagement with Science News and Its Educational Implications

Abstract

This study examines gender disparities in engagement with science-related news and explores the educational implications of these differences, with a focus on the role of artificial intelligence (AI) in addressing these gaps. By employing advanced AI algorithms, including machine learning and natural language processing, the research analyzes large-scale datasets to identify nuanced gender-based patterns in media consumption. The findings reveal distinct ways in which men and women interact with scientific content, shaped by socio-cultural factors and personalized algorithmic recommendations. Drawing on these insights, the study proposes tailored educational strategies aimed at promoting equitable access to scientific knowledge. This research highlights AI's potential not only to enhance our understanding of audience behavior but also to transform science education through personalized, inclusive approaches that bridge existing gaps in engagement and literacy.