基于地理标签Twitter的新冠肺炎疫情对教育的影响分析

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 Pub Date : 2020-11-03 DOI:10.1145/3423459.3430756

Zhu Wang, I. Cruz

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引用次数: 8

摘要

随着校园重新开放，学校恢复了面对面教学，150多所大学在所有州报告了数百例COVID-19确诊病例，这些学校在春季一夜之间转为在线教学。我们通过使用地理标记的Twitter数据集进行了一项大规模的教育研究，该数据集涵盖了整个美国2020年春、夏、秋三个学期的部分时间。我们分析了COVID-19病例的时空格局。然后，我们进行内容和情感分析，以发现美国高校的人们正在交流哪些话题和哪些想法。

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Analysis of the Impact of COVID-19 on Education Based on Geotagged Twitter

More than 150 colleges have reported hundreds of COVID-19 confirmed cases over all the states as the campuses have reopened and the schools have resumed in-person classes, after switching overnight to online teaching in the spring. We conduct a large scale study on education by using a geotagged Twitter dataset, which spans the whole U.S. during parts of the spring, summer, and fall terms of 2020. We analyze the temporal and spatial patterns of COVID-19 cases. Then, we conduct content and sentiment analysis to discover which topics and which thoughts people located at U.S. colleges and universities are communicating.

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Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19

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