Social media and COVID-19: Can social distancing be quantified without measuring human movements?

被引:3
|
作者
Anderson M. [1 ]
Karami A. [1 ]
Bozorgi P. [2 ]
机构
[1] School of Information Science, University of South Carolina, Columbia, SC
[2] Arnold School of Public Health, University of South Carolina, Columbia, SC
关键词
COVID-19; social distancing; social media; twitter;
D O I
10.1002/pra2.378
中图分类号
学科分类号
摘要
The COVID-19 outbreak has posed significant threats to international health and the economy. In the absence of treatment for this virus, public health officials asked the public to practice social distancing to reduce the number of physical contacts. However, quantifying social distancing is a challenging task and current methods are based on human movements. We propose a time and cost-effective approach to measure how people practice social distancing. This study proposes a new method based on utilizing the frequency of hashtags supporting and encouraging social distancing for measuring social distancing. We have identified 18 related hashtags and tracked their trends between Jan and May 2020. Our evaluation results show that there is a strong correlation (p <.05) between our findings and the Google social distancing report. 83rd Annual Meeting of the Association for Information Science & Technology October 25-29, 2020. Author(s) retain copyright, but ASIS&T receives an exclusive publication license.
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