It is possible that social media could worsen gender disparities in journalism due to the automated processes. This study looks into how digital media algorithms impact the visibility and interactions of women journalists. The study draws on qualitative data from Journalists and AI (Artificial Intelligence) specialists (both male and female). The study examines the impact of algorithmic biases on the professional and social visibility of women in digital space. Out of the thirty (30) individuals, 15 were journalists and 15 were AI specialists. Among the female journalists, the majority felt disenfranchised by opaque recommendation systems. AI specialists mentioned biased data in systems while male journalists recognized the disparity as a byproduct rather than a feature of the system. Digital spaces need systems designed in diversity-equitable manner. The analysis demands a sense of collaboration from all disciplines to address the impact of algorithms.