
arXiv: 2006.05983
COVID-19 has presented society with a unique set of challenges, including seeking a scientific understanding of the novel coronavirus, modeling its epidemiology, and inferring appropriate societal response. In this article, we posit that fighting a pandemic is as much a social endeavor as a medicinal and scientific one and focus on developing a platform for understand the social pulse of the United States during the COVID-19 crisis. We collected a multitude of data that includes longitudinal trends of news topics, social distancing behaviors, community mobility changes, web searches, and other descriptors of the COVID-19 pandemic’s effects on the United States. Our preliminary results show that the number of COVID-19-related news articles published immediately after the World Health Organization declared the pandemic on March 11 have steadily decreased—regardless of changes in the number of cases or public policies. Additionally, we found that politically moderate and scientifically grounded sources have, relative to baselines measured before the beginning of the pandemic, published a lower proportion of COVID-19 news articles than more politically extreme sources—a fact that has implications for the spread and consequences of misinformation during the pandemic. We suggest that further analysis of these multi-modal signals could produce meaningful social insights and present an interactive dashboard to aid further exploration. 1
Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Computers and Society, Computers and Society (cs.CY), Computer Science - Social and Information Networks
Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Computers and Society, Computers and Society (cs.CY), Computer Science - Social and Information Networks
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
