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We present and begin to explore a collection of social data that representspart of the COVID-19 pandemic's effects on the United States. This data iscollected from a range of sources and includes longitudinal trends of newstopics, social distancing behaviors, community mobility changes, web searches,and more. This multimodal effort enables new opportunities for analyzing theimpacts such a pandemic has on the pulse of society. Our preliminary resultsshow that the number of COVID-19-related news articles published immediatelyafter the World Health Organization declared the pandemic on March 11, and thatsince that time have steadily decreased---regardless of changes in the numberof cases or public policies. Additionally, we found that politically moderateand scientifically-grounded sources have, relative to baselines measured beforethe beginning of the pandemic, published a lower proportion of COVID-19 newsthan more politically extreme sources. We suggest that further analysis ofthese multimodal signals could produce meaningful social insights and presentan interactive dashboard to aid further exploration.

Pandemic Pulse: Unraveling and Modeling Social Signals during the COVID-19 Pandemic