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Do you see what I see? Images of the COVID-19 pandemic through the lens of Google

机译:你看见我看到的了吗? 通过谷歌镜头的Covid-19流行病的图像

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During times of crisis, information access is crucial. Given the opaque processes behind modern search engines, it is important to understand the extent to which the "picture" of the Covid-19 pandemic accessed by users differs. We explore variations in what users "see" concerning the pandemic through Google image search, using a two-step approach. First, we crowdsource a search task to users in four regions of Europe, asking them to help us create a photo documentary of Covid-19 by providing image search queries. Analysing the queries, we find five common themes describing information needs. Next, we study three sources of variation -users' information needs, their geo-locations and query languages - and analyse their influences on the similarity of results. We find that users see the pandemic differently depending on where they live, as evidenced by the 46% similarity across results. When users expressed a given query in different languages, there was no overlap for most of the results. Our analysis suggests that localisation plays a major role in the (dis)similarity of results, and provides evidence of the diverse "picture" of the pandemic seen through Google.
机译:在危机时期,信息访问至关重要。鉴于现代搜索引擎背后的不透明流程,重要的是要了解用户访问的Covid-19流行病的“图片”的程度不同。我们使用两步方法探讨用户通过Google Image搜索“参见”对大流行语的变化。首先,我们将搜索任务藏到欧洲四个地区的用户,要求他们通过提供图像搜索查询来帮助我们创建Covid-19的照片纪录片。分析查询,找到了描述信息需求的五个常见主题。接下来,我们研究三个变异的信息需求,他们的地理位置和查询语言 - 并分析它们对结果的相似性的影响。我们发现用户根据他们的生活地点看到大流行,如结果的46%相似度所证明。当用户以不同语言表达给定查询时,大多数结果都没有重叠。我们的分析表明,本地化在结果的(DIS)相似性中发挥着重要作用,并提供了通过谷歌看到的大流行病的多样化“图片”的证据。

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