Abstract: The media plays a crucial role in constructing narratives and shaping public interpretation of global crises, particularly in prolonged geopolitical disputes such as the ongoing war between Russia and Ukraine. Given the significant humanitarian impact of this war, analyzing how it has been framed in the media provides valuable insights into its portrayal and the narratives that emerge over time. While numerous studies have examined media framing of the war, they often focus on isolated events or limited timeframes, overlooking the evolving nature of narratives. This study addresses this gap by conducting a longitudinal framing analysis of war coverage in news media over two years. Unsupervised machine learning models are utilized to explore transformations in volume, narrative themes, and portrayals of the war and its key actors. Our findings contribute to understanding how framing strategies in media coverage shape narratives, with potential implications for public perception and policy discourse. By examining patterns and differences in media framing, this study highlights how distinct editorial priorities influence the portrayal of the war and its broader consequences and potential imbalances in coverage.
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