15. 数据可视化中的多模态学术论证

Arlene Archer, Travis M Noakes
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引用次数: 0

摘要

本章探讨了新闻系二年级学生在数据可视化中实现论点的符号学和修辞策略。符号学策略包括颜色、排版、图形的使用,修辞策略包括建立可信度和引用的使用。研究了数据比较的基本基础对论证的影响,以及数据的选择和处理。本章研究了概念材料的符号学编码,以及在数据可视化中构建的话语社区中建立关系的方式。这种看待学术论证的方式对高等教育中教授这些文本类型以培养批判性公民具有重要意义;无论是在生产方面还是在批判性分析方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
15. Multimodal academic argument in data visualization
This chapter investigates the semiotic and rhetorical strategies for realizing argument in data visualizations produced by second-year journalism students. The semiotic strategies include use of colour, typography, graphics, and the rhetorical strategies include establishing credibility and the use of citation. The effect of the underlying basis for comparison of data on the argument is examined, as are the selection and processing of data. The chapter investigates the semiotic encoding of ideational material and the ways relationships are established within the discourse communities constructed in the data visualizations. This way of looking at academic argument has important implications for teaching these text-types in higher education in order to produce critical citizens; both in terms of production and critical analysis.
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