Image types revisited. A texto-material approach for creating image types

Q3 Social Sciences Studies in Communication Sciences Pub Date : 2024-05-08 DOI:10.24434/j.scoms.2024.01.3894
Seraina Tarnutzer, K. Lobinger, Federico Lucchesi
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Abstract

In visual communication research there are already several methodological approaches for creating image types. These approaches work with creating typologies based on the representational features of visuals / image motifs, reducing the complexity of extensive visual material. However, we argue that in everyday visual communication, the meaning of images depends largely on the practices in which they are embedded and not on the motif. This paper’s aim is to propose a methodological design for an image type analysis that considers both the representational and the artifact-related component of images, following a texto-material understanding of images. We illustrate the procedure step by step through an empirical study that explores visuals in couple relationships in Switzerland. The method enables a qualitative analysis of a large number of visuals that combines a) the creation of image types and b) a dynamic approach to in-depth visual analysis. Image types resulting from this procedure are more heterogeneous in motifs compared to previous traditions of image type analysis but allow for considering both the visual and the material dimensions of visuals, e.g., practices in which images are embedded. The approach builds on existing methods and contributes to the advancements of methods within visual communication research.
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重访图像类型。创建图像类型的文本材料方法
在视觉传播研究中,已经有几种创建图像类型的方法。这些方法根据视觉效果/图像主题的表现特征来创建类型,从而降低了大量视觉材料的复杂性。然而,我们认为,在日常视觉交流中,图像的意义在很大程度上取决于图像所蕴含的实践,而不是主题。本文旨在提出一种图像类型分析的方法论设计,该设计同时考虑了图像的表象和与人工制品相关的部分,遵循了对图像的文本-材料理解。我们通过一项实证研究逐步说明了这一过程,该研究探讨了瑞士夫妻关系中的视觉效果。这种方法可以对大量的视觉图像进行定性分析,并将 a) 图像类型的创建和 b) 深入视觉分析的动态方法结合起来。与以往的图像类型分析方法相比,该方法所产生的图像类型在主题方面更加多样化,但同时也考虑到了视觉效果和视觉效果的物质层面,例如图像嵌入其中的实践。这种方法建立在现有方法的基础上,有助于推进视觉传播研究方法的发展。
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来源期刊
Studies in Communication Sciences
Studies in Communication Sciences Social Sciences-Communication
CiteScore
1.20
自引率
0.00%
发文量
34
审稿时长
36 weeks
期刊最新文献
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