The coronavirus disease, also known as the COVID-19, is an ongoing pandemic of a severe acute respiratory syndrome. The pandemic has led to the cancellation of many religious, political, and cultural events around the world. A huge number of people have been stuck within their homes because of unprecedented lockdown measures taken globally. This paper examines the reaction of individuals to the virus outbreak-through the analytical lens of specific hashtags on the Instagram platform. The Instagram posts are analyzed in an attempt to surface commonalities in the way that individuals use visual social media when reacting to this crisis. After collecting the data, the posts containing the location data are selected. A portion of these data are chosen randomly and are categorized into five different categories. We perform several manual analyses to get insights into our collected dataset. Afterward, we use the ResNet-50 convolutional neural network for classifying the images associated with the posts, and attention-based LSTM networks for performing the caption classification. This paper discovers a range of emerging norms on social media in global crisis moments. The obtained results indicate that our proposed methodology can be used to automate the sentiment analysis of mass people using Instagram data.

中文翻译：

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了解全球对近期 COVID-19 爆发的反应：来自 Instagram 数据分析的见解

冠状病毒病，也称为 COVID-19，是一种持续流行的严重急性呼吸系统综合症。大流行导致世界各地的许多宗教、政治和文化活动被取消。由于全球采取了前所未有的封锁措施，大量人被困在家中。本文通过 Instagram 平台上特定主题标签的分析镜头，研究了个人对病毒爆发的反应。对 Instagram 帖子进行分析是为了揭示个人在应对这场危机时使用视觉社交媒体的方式的共性。收集数据后，选择包含位置数据的帖子。这些数据的一部分是随机选择的，并分为五个不同的类别。我们执行多次手动分析以深入了解我们收集的数据集。之后，我们使用 ResNet-50 卷积神经网络对与帖子相关的图像进行分类，并使用基于注意力的 LSTM 网络进行字幕分类。本文发现了全球危机时刻社交媒体上的一系列新兴规范。获得的结果表明，我们提出的方法可用于使用 Instagram 数据自动对大众进行情感分析。