A Comparative Analysis of the Transformation of the Other’s Image: 2018-2022

R. T. Aliev, Olesya S. Yakushenkova
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Abstract

The article is the final in a series of studies we conducted in the period from 2018 to 2022, and focuses on the transformation of the image of the Other in the period of the Covid-19 pandemic. For this study, we used Internet query statistics, extracting a series of markers, which we divided into three groups: food, clothing(appearance), and sexuality. The data was used to compile a correlation matrix and identify the strongest correlation between the markers. The study showed that the most diverse in the number of different markers is the food aspect. The appearance and sexual aspects are less distinctive during the pandemic but also play an important role in shaping the Other's image. It is also worth mentioning the fact that in the post-Covid time (2022) the difference between various models is blurred and some of them are enlarged by the inclusion of representatives of other ethnic groups. In particular, today we can distinguish several big clusters of the Other’s models holding common structural markers: some models are united according to their “food” aspect (Far Eastern cluster), others according to their appearance and sexual aspects (cluster of the former Soviet Union ethnic groups). However, within these clusters, models also share structural markers, so that they can be combined into subgroups based on one feature or another.
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他者形象转换的比较分析:2018-2022
这篇文章是我们在2018年至2022年期间进行的一系列研究的最后一篇,重点是在Covid-19大流行期间他者形象的转变。在这项研究中,我们使用互联网查询统计,提取一系列标记,我们将其分为三组:食物,服装(外观)和性别。利用这些数据编制相关矩阵,找出标记物之间最强的相关性。研究表明,在不同标记的数量上,最多样化的是食物方面。在大流行期间,外表和性方面不那么明显,但在塑造他者形象方面也发挥着重要作用。值得一提的是,在新冠肺炎疫情后(2022年),各种模型之间的差异变得模糊,其中一些模型因纳入其他族裔代表而被放大。特别是,今天我们可以区分出几个拥有共同结构标记的他者模型的大集群:一些模型根据它们的“食物”方面(远东集群)而联合起来,另一些模型根据它们的外观和性别方面(前苏联民族群体的集群)。然而,在这些聚类中,模型也共享结构标记,因此它们可以基于一个或另一个特征组合成子组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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