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Using Kaleidographic to visualize multimodal relations within and across texts
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Visualizing corpus-assisted multimodal discourse analysis: Principles and limitations
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Introducing Kaleidographic: A new visualization tool for multimodal discourse analysis
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Abstract:
For researchers working with ‘modal ensembles’ (Kress 2010: 28), where meaning is made at the intersection of multiple semiotic modes, the ability to demonstrate the convergence and divergence of meaning between semiotic modes, both within and across multiple texts, has to date been a near impossible task. In this paper, I introduce Kaleidographic, a visualization tool that is capable of demonstrating patterns within and across texts (inter- and intra-textual relations) and within and across semiotic modes (inter- and intra-semiotic relations). I do this using a corpus of 6299 Instagram posts consisting of a photograph, caption text and various hashtags, collected over a 5-day period from 30 June to 4 July 2016 and relating to the Australian federal election. In analysing this data, it became clear that Instagrammers make use of multiple resources (verbal and visual) to express both political affiliation with a political party (e.g. photographing themselves wearing a Greens campaign t-shirt, or explicitly stating in the caption ‘I voted Green’) and to distance themselves from a particular party or politician (e.g. in the use of the hashtag #fuckyouturnbull), sometimes doing both within one post. While analysing and then collating individual instances of these affiliative strategies is straightforward, it is difficult to get a sense of the dataset as a whole, where these strategies occur (across texts), how they are realised (across semiotic modes) and the extent to which they converge and diverge. I use Kaleidographic to demonstrate all of these relations.
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Keyword:
Affiliation; Australian federal election; Data visualization; Instagram; Kaleidographic; Multimodality
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URL: http://handle.unsw.edu.au/1959.4/unsworks_48068
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Visualising Multimodal Discourse Analysis using Kaleidographic: A Case Study of Discursive News Values Analysis in Most Shared News
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Introducing a new topology for (multimodal) discourse analysis. ; Transforming Contexts. Papers from the 44th International Systemic Functional Congress
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