Multimodal Discourse Analysis
Multimodal discourse analysis (MMDA) examines how people use various forms of communication—such as words, images, sound, gesture, and layout—to construct meaning in social contexts. This approach acknowledges that meaning is inherently multimodal, with different modes operating simultaneously to enhance communication's richness and intensity. By combining modes, new meanings can emerge, and elements across different modes can either reinforce, complement, or contradict one another. Jewitt (2006) outlines three main approaches to MMDA, each emphasizing different aspects related to contexts, systems, and sign-makers. Resources such as scholarly works, seminal texts like those by the New London Group (1996), and technological tools like Atlas.ti and Dedoose support the study and analysis of multimodal discourse. Examples of dissertations incorporating MMDA, such as those by Fiscus (2018), Ma (2005), and Lewis (2013), demonstrate the diverse applications of multimodality in empirical ...