<p>This study employs sentiment analysis and topic modeling to investigate how modern media interprets law and responsibility across a vast corpus of worldwide news items. The study’s goal is to find sentimental patterns in legal narratives and identify topic clusters that dominate public discourse. The study examines the polarity of sentiment as well as the thematic diversity of legal coverage using a variety of natural language processing technologies, including VADER and LDA. The findings reveal distinct attitude differences among legal topics: criminal justice and international law elicit strong emotional reactions, whereas administrative governance is typically described in neutral tones. The analysis also highlights the increasingly evident ways in which public emotion is linked to shifting socio-political events, and how thematic clusters, such as accountability and humanitarian intervention, interact with these sentimental trajectories. Using these variables in the observation and analysis of patterns, the study has fostered a more critical examination of the news media’s role in shaping public understanding of legality, justice, and civic failure. While some methodological limitations have been outlined, and the features of language nuance and audience interpretation remain problematic, the research can provide a useful outline for future interdisciplinary research at the intersection of law, communication, and data science. The findings have also been useful to policymakers, journalists, and legal educators in bringing further responsibility and informed public discourse on legality, justice, and citizenship into the public domain.</p>