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Welcome to International Journal of Research in Social Sciences & HumanitiesE-ISSN : 2249 - 4642 | P-ISSN: 2454 - 4671 IMPACT FACTOR: 8.561 |
Abstract
Text-image Discourse of Environmental Slogans : A Discourse Analysis Study
Dr. Salih Mahdi Addai, Dhurgham Mageed Abdzaid
Volume: 12 Issue: 1 2022
Abstract:
This study is a multimodal discourse analysis study, it investigates the correlation replica watches between image and text. It studies the environmental slogans that contain text and image correlated together, with reference to other techniques that are used within these slogans, hence it analyses the semiotic side of slogans with reference to the semiotic tools like colors that are integrated within these slogans. Four different environmental slogans within the analysis show that the tools and texts are not the same, while the message is one and unique, different texts, color, gestures and draws might help to convey the same message to others, all these details are analyzed relation to the text.
References
- Alikhani, M. and Stone, M. 2018a. Exploring coherence in visual explanations. In 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), pages 272–277.
- Bateman, J. ( 2014 ). Text and Image: A Critical Introduction to the Visual/Verbal Divide (London & New York: Rouledge, 2014).
- Barthes, R., 1977 – Rhetoric of the Image: Image Music,Text , Ed. and trans. Stephen Heath, New York: Hill and Wang.
- Bloommaert , J . (2005). Discourse . Cambridge : Cambridge University Press .
- Brian Paltridge (2012) Discourse Analysis. London: Bloomsbury.
- ECO, Umberto. 1985. How Culture Conditions the Colours We See. In M. Blonsky (ed.) On Signs, 157-75. Baltimore: Johns Hopkins University Press.
- Castells,M. (2009) Communication Power, Oxford: Oxford University Press.
- Halliday, M. A. K. (1978). Language as Social Semiotic: The Social Interpretation of Language and Meaning. London: Edward Arnold.
- Heriberto Cuayáhuitl, Simon Keizer, and Oliver Lemon. 2015. Strategic dialogue management via deep reinforcement learning. In NIPS Workshop on Deep Reinforcement Learning. ArXiv:1511.08099.
- Jewitt, C. 2014. The Routledge Handbook of Multimodal Analysis. New York: Routledge.
- Johnstone , B. ( 2008) . Discourse Analysis . Blackwell : Oxford .
- KRESS, G., T. van Leeuwen. 2002. Colour as a semiotic mode: notes for a grammar of colour. Visual Communication 1(3), 343–368.
- O’Halloran,K. “Multimodal Digital Humanities” in International Handbook of Semiotics, ed. P. Trifonas (Dordrecht: Springer, 2015), 383-409; K. L. O’Halloran, S. Tan, D.-S. Pham, J. Bateman & A. Vande Moere, “A Digital Mixed Methods Research Design: Integrating Multimodal Analysis with Data Mining and Information Visualization for Big Data Analytics”, Journal of Mixed Methods Research (2016), DOI: 10.1177/1558689816651015.
- Papacharissi , Z. (ed.), A Networked Self: Identity, Community and Culture on Social Network Sites (New York & London: Routledge, 2011).
- Widdowson , H.G. (2011) . Discourse Analysis . Oxford : Oxford University Press .

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