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1
Image-centric practices on Instagram: Subtle shifts in footing.
Caple, H. - : Routledge, 2020. : London, 2020
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2
Multimodal News Analysis Across Cultures
Caple, H; Huan, C; Bednarek, M. - : Cambridge University Press, 2020. : Cambridge, UK, 2020
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3
Kaleidographic: A data visualization tool.
Caple, H; Anthony, L; Bednarek, M. - : John Benjamins Publishing, 2019
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4
Using Kaleidographic to visualize multimodal relations within and across texts
Caple, H; Bednarek, M; Anthony, L. - : SAGE, 2018
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5
Analyzing the multimodal expression of thoughts and feelings in social media posts
Caple, H. - 2018
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6
Visualizing corpus-assisted multimodal discourse analysis: Principles and limitations
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7
Introducing a new visualisation tool: Kaleidographic
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8
Kaleidographic
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9
News values in Australia Day reporting: a social semiotic approach
Caple, H. - 2018
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10
Analysing the multimodal text
Caple, H. - : Routledge, 2018. : London, 2018
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11
Introducing Kaleidographic: A new visualization tool for multimodal discourse analysis
Caple, H. - 2017
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12
Visualising Multimodal Discourse Analysis using Kaleidographic: A Case Study of Discursive News Values Analysis in Most Shared News
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13
Introducing a new topology for (multimodal) discourse analysis. ; Transforming Contexts. Papers from the 44th International Systemic Functional Congress
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14
Genre(less) and purpose(less): Online news galleries
Caple, H; Knox, JS. - : Elsevier, 2017
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15
Assessing the multimodal construction of public sentiment on social media
Caple, H. - 2017
Abstract: This paper examines discourses about politicians and their parties/polices during the 2016 Australian federal election that emerged on the photo-sharing social media site, Instagram, as expressed through both verbal and visual semiotic resources. The dataset consists of 92 Instagram posts that made use of the discourse tagging hashtag #dogsatpollingstations, and which were posted on this social media site on 2 July 2016 (the day of the federal election). The paper focuses on qualitative multimodal discourse analysis of this relatively small #dogsatpollingstations dataset, in order to demonstrate the multisemiotic affiliative and distancing strategies that were put to use as Instagrammers (people who post content to Instagram) convened with each other around the federal election. The analysis combines corpus linguistic methods (examining word frequency and concordances) with multimodal discourse analysis (following van Leeuwen 2008; Kress and van Leeuwen 2006) and as such is an example of CAMDA, corpus-assisted multimodal discourse analysis (Bednarek and Caple 2014: 151). The findings not only show that Instagram, like other social media, functions as a barometer of public sentiment, but also demonstrate the sophisticated ways in which such public sentiment is expressed multimodally.
Keyword: Affiliation; Australian federal election; CAMDA: Corpus assisted multimodal discourse analysis; Instagram; visual-verbal relations
URL: http://handle.unsw.edu.au/1959.4/unsworks_56356
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16
A new topology for (multimodal) discourse analysis
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17
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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