“…The rapidly expanding field of digital humanities now regularly engages with visual or multimodal materials, which often involves combining methods developed in the fields of computer vision, natural language processing and machine learning for enriching and exploring large volumes of data (Smits and Wevers, 2023). In addition to methodological explorations that have applied specific computational techniques to different media that range from film (Heftberger, 2018) to photography (Smits and Ros, 2023) and magic lantern slides (Smits and Kestemont, 2021) to mention just a few examples, recent research has sought to couch the application of computational methods to visual and multimodal materials within broader theoretical frameworks, such as the one proposed for "distant viewing" by Tilton (2019, 2023). These efforts have also attracted the attention of multimodality researchers, who have argued that computational approaches to multimodal data in digital humanities would benefit from input from relevant theories of multimodality, which can provide the methodological tools needed for pulling apart the diverse materialities and artifacts studied (Bateman, 2017) and annotation schemes required for contextualizing the results of computational analyses (Hiippala, 2021).…”