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Image-centric practices on Instagram: Subtle shifts in footing.
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Caple, H. - : Routledge, 2020. : London, 2020
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Using Kaleidographic to visualize multimodal relations within and across texts
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Analyzing the multimodal expression of thoughts and feelings in social media posts
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Visualizing corpus-assisted multimodal discourse analysis: Principles and limitations
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Abstract:
Contemporary communication is becoming an increasingly complex multimodal process. As a result, the task of the linguist to unpack meaning-making is also becoming more complex, requiring multiple methods, e.g. corpus linguistics and (multimodal) discourse analysis, collaboration between researchers with specialist expertise, and the use of visualizations that can present findings in a meaningful manner. Displaying the results of complex multimodal analyses in a way that reveals patterns within and across modes and texts is very difficult to achieve with tables and traditional static visualizations, such as bar- and line-charts. In this paper, we review the state of the field and then introduce a new, freely available, online tool for visualizing the results of complex multimodal analyses: Kaleidographic (Caple & Bednarek 2017). Kaleidographic is a dynamic and interactive visualization tool that can reveal relations between variables within multimodal texts or the 'steps' of a multimodal communication process. The number of variables and multimodal layers of the visualization can be increased or decreased to match the target data. The values of the variables can also be displayed on a nominal, ordinal, interval, or ratio scale. Kaleidographic is able to ‘play’ through target data at different speeds to reveal patterns across multimodal texts or steps of a communication process. As each multimodal text or 'scene' is shown, the values of the different variables are activated and ‘light up’, revealing information that is difficult to perceive in a static visualization. Increasing the speed of the playback gives a more holistic view of the data, whilst slowing down the playback or stepping through the playback one text or 'scene' at a time allows the user to spend more time with individual data points and to explore the combinations of meanings being displayed at any one time. It is also possible to block out variables and multimodal layers in order to focus on specific variables and layers of interest. In this paper, we will demonstrate how Kaleidographic works, while also reflecting upon its development and limitations. We suggest that this visualization tool is useful for multimodal discourse analysis of small datasets, but that it can also be adapted for use with other types of data (for example, monomodal corpus linguistics).
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Keyword:
data visualization; Kaleidographic; software
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URL: http://handle.unsw.edu.au/1959.4/unsworks_56229
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News values in Australia Day reporting: a social semiotic approach
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Introducing Kaleidographic: A new visualization tool for multimodal discourse analysis
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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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Assessing the multimodal construction of public sentiment on social media
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How can computer-based methods help researchers to investigate news values in large datasets? A corpus linguistic study of the construction of newsworthiness in the reporting on Hurricane Katrina
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