This project investigated societal attitudes that contribute to the marginalization and stigma of people living with HIV in Greece, while also examining how HIV is portrayed on social media, with a focus on Twitter. Our team conducted the project entirely, designing the methodology, collecting and curating large volumes of social media data, and applying Exploratory Data Analysis (EDA) along with text mining and natural language processing techniques. Keywords were carefully selected, including slang and terms suggested by experts and Patient-Reported Outcomes (PROs), and tweets were filtered from key periods in Greece’s HIV history, such as the introduction of HAART, U=U campaigns, and PrEP awareness initiatives. The analysis identified main themes, sentiment trends, hashtags, links, and demographic patterns, which were visualized in an interactive platform for researchers and partners. This work provides actionable insights to guide interventions aimed at reducing stigma, improving psychosocial support, and raising societal awareness about HIV.