The rise of digital communication platforms has intensified the global challenge of combating misinformation, particularly during health emergencies such as pandemics. This research explores how media and data-driven strategies have been employed to manage misinformation during the COVID-19 and H1N1 pandemics. Through qualitative comparative analysis, the study investigates the effectiveness of media interventions, data visualization tools, and fact-checking systems in promoting accurate public health information. It highlights the limitations of reactive approaches, the role of cognitive biases in public susceptibility, and the ethical implications of content moderation. Case studies reveal that coordinated data initiatives, media literacy campaigns, and platform design changes can strengthen societal resilience to misinformation. The findings underscore the need for interdisciplinary strategies that integrate technology, psychology, and communication to counter future infodemics and preserve trust in science and institutions.