《信息学术》视觉化制作的批判性解读

Haldun Narmanlioğlu, Azime Ayşenur Çelimli
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引用次数: 0

摘要

通信技术与信息之间的问题关系是该学院的重要讨论话题之一。信息轰炸(information bombardment)、虚假信息(disinformation)、误传信息(misinformation)等概念是指通过传播手段传播的不正确、扭曲和腐败的信息。不健康的信息和知识被视为形成健康舆论的最大障碍。在影响全球的新冠肺炎疫情中,传播工具与信息的关系再次凸显出来。“信息疫情”可以定义为“虚假、扭曲的信息流行病/大流行”,是指通过不同的传播工具向公众提供的关于新冠肺炎大流行的真正遥远的信息。另一方面,今天,视觉图像已经成为传播信息和生产意义的最重要的来源。随着数字化的发展,我们的日常生活被一种充满图像的文化所塑造,这种文化比以往任何时候都更被人工视觉所包围。这项工作的好奇心是“信息是如何通过视觉图像产生的?”这是基于问题。为此,Twitter被选为重要社交网站的研究对象。该研究展示了如何在推特上可视化地制作有关土耳其Covid - 19疫苗的信息流行,并通过内容分析进行分析。本文采用Douglas Kellner提出的critical visual literacy方法进行分析。根据凯尔纳的建议,政治、意识形态、宗教等语义负荷被试图解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Critical Reading on the Visual Production of Infodemic
The problematic relationship between communication technologies and information is among the essential discussion topics of the academy. Concepts such as information bombardment, disinformation, and misinformation refer to incorrect, distorted, and corrupt information disseminated by means of communication. Unhealthy information and knowledge are seen as the biggest obstacle to the formation of a healthy public opinion. In the Covid 19 epidemic, which affects the whole world, the relationship between communication tools and information has come to the fore again. An "infodemic," which can be defined as "false, distorted information epidemic/pandemic," describes the truly distant information flowing to the public about the Covid 19 pandemic through different communication tools. On the other hand, today, visual images have become the most crucial source in disseminating information and the production of meaning. With digitalization, our daily life is shaped by an image-filled culture surrounded by artificial visuals more than ever before. The curiosity of this work is "How is infodemic produced through visual images?" It is based on the question. For this purpose, Twitter has been chosen as the research universe of important social networking sites. The study showed how the infodemia spread about Covid 19 vaccine in Turkey was produced visually on Twitter and analyzed with content analysis. The critical visual literacy method proposed by Douglas Kellner was adopted for analysis. In line with the suggestion of Kellner, the political, ideological, religious, and so on semantic load has been tried to be interpreted.
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