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This presentation highlights findings from two sets of qualitative data to surface the limitations of a mashup approach to multimodal analysis in literacy studies. By investigating several prominent theories and frameworks that are commonly combined for the purpose of multimodal analysis, the authors – pulling from their own experiences using these frameworks to examine data – determine that the mashup approach is not necessarily ineffective, but that it is insufficient. The authors conclude by offering recommendations for supplementing the mashup approach through data co-construction and increased attention to researcher positionality, ultimately suggesting a new, more productive framework.
David Eric Low, California State University - Fresno
Jessica Zacher Pandya, California State University - Long Beach