The presented approach has its limitations in that it focuses on basic content labelling by LLMs and therefore captures only surface-level visual information. It does not address deeper aspects of cinematic language, such as image syntax, semantics and compositional elements. This early-stage work is therefore positioned as a first step in automated analysis of protest images and videos, and as contributing to the broader discussion of computational approaches to understanding visual narratives. In the future, we aim to explore the integration of formal visual elements and more complex multimodal analysis techniques (Sommer, 2021) into a coherent analytical framework.