Segments of audiovisual content are constantly being reinterpreted as they are reused and repeated in new contexts. Framing analysis can reveal patterns and biases in the way content is being recontextualised in the media to shape public discourse. In the AI4Media project, the Netherlands Institute for Sound & Vision has been investigating how AI-based tools could support humanities scholars in performing framing analysis across large-scale audiovisual collections. This short paper describes a demo of the Partial Audio Matching (PAM) functionality designed for this purpose. It describes how PAM has been integrated into the CLARIAH Media Suite - a virtual research space for humanities scholars that enables the exploration and analysis of audiovisual collections.