Image and text relations in ISIS materials and the new relations established through recontextualisation in online media
MetadataShow full item record
© 2018, The Author(s) 2018. This study takes a systemic functional multimodal social semiotic approach to the analysis and discussion of image and text relations in two sets of data. First, patterns of contextualisation of images and text in the online magazines Dabiq and Rumiyah produced by the Islamic extremist organisation which refers to itself as Islamic State (referred to here as ISIS) are examined. The second data set consists of a sample of texts from Western online news and blog sites which include recontextualisations of images found in the first data set. A sample of examples of the use and re-use of images is discussed in order to identify patterns of similarity and difference when images and text are recontextualised. It is argued that the ISIS material tends to foreground the interpersonal metafunction in combination with the textual metafunction (i.e. the stance towards the content and the organisation of the message for this purpose), while the other data set tends to foreground the ideational metafunction (the participants, processes and circumstances of what is being reported). These inferences indicate that further exploration of a larger data set is worth pursuing. Such studies would provide deeper insights helping to distinguish between online material which supports terrorism and that which opposes it, as well as facilitating the further development of multimodal social semiotic approaches to image and text relations.
Showing items related by title, author, creator and subject.
Kent, Michael; Ellis, Katie; Peaty, Gwyneth; Latter, Natalie; Locke, Kathryn (2017)Captions can be defined as the text version of speech and other sound in traditional audio visual media such as films, television, DVDs and online videos. Captions are usually provided to enhance audio content and are ...
Interpreting text and image relations in violent extremist discourse: A mixed methods approach for big data analyticsO'Halloran, Kay; Tan, Sabine; Wignell, Peter; Bateman, J.; Pham, DucSon; Grossman, M.; Moere, A. (2016)This article presents a mixed methods approach for analysing text and image relations in violent extremist discourse. The approach involves integrating multimodal discourse analysis with data mining and information ...
Natural Language Understanding and Multimodal Discourse Analysis for Interpreting Extremist Communications and the Re-Use of These Materials OnlineWignell, Peter; Chai, K.; Tan, Sabine; O Halloran, K.; Lange, R. (2018)© 2018, © 2018 Taylor & Francis. This paper reports on a study that is part of a project which aims to develop a multimodal analytical approach for big data analytics, initially in the context of violent extremism. The ...