Computational Narrative Framing: Towards Identifying Frames through Contrasting the Evolution of Narrations

Our understanding of the world is fundamentally shaped by language, with narrations being a central point, and influenced by its framing. Recent advancements in language models gave rise to computational methods for both narrative understanding and framing analysis. Although given their overlap, these two strands are mostly researched independently. In this position paper, we argue for their consolidation in the form of narrative framing, i.e., the framing process driven by narrations. Herein, we outline similarities between both based on semantic elements. Besides, we discuss how different narratives might compete with each other, as well as evolve over time. Thereby, narratives inevitably change the framing, exemplarily depicted on the issue of climate change. We believe that the analysis of narrative frames will lead to a broader understanding of textual corpora as a whole rather than individual pieces of text.