Data-visualization and new literacies: new methods for video remixes analysis

This article introduces audiovisual data-set, and data-visualization methods developed to analyze video remixes, i.e., Anime Music Videos (AMVs). It mainly focuses on reviewing the methodology that has supported our Ph.D. thesis which aims to integrate a qualitative methodology according to Bakhtin's theories of genre and architectonics, and a quantitative methodology based on media visualization techniques and statistical distributions of formal and stylistic choices. More specifically, it aimed to reflect upon on audiovisual productions belonging to the site http://www.animemusicvideos.org/. Community whose goal is the elaboration and distribution of Japanese animations remixes called Anime Music Videos (AMVs). We propose to integrate an enunciative-discursive perspective, formulated for verbal language with an analysis objective method of multimodal objects. Hence we suggest a mixed research design (quantitative and qualitative) based on statistical distributions and description and analysis of our data visualization techniques, aiming to reveal relationships and patterns in our collection of audiovisual data, so as to provide productive transitions between the concepts proposed by Bakhtin and his Circle, and analysis of editing and video editing tools