id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-169141-71qh6yjr	Krieg, Steven J.	Pandemic Pulse: Unraveling and Modeling Social Signals during the COVID-19 Pandemic	2020-06-10		.txt	text/plain	2068	110	56	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, and that since that time have steadily decreased---regardless of changes in the number of cases or public policies. We collected COVID-19 case data from Johns Hopkins Univerisity [11] , news data from the Global Database of Events, Language, and Tone (GDELT) [13] , web search data from Google trends, media bias labels from Media Bias/Fact Check [8] and AllSides [5], social distancing data from Unacast [15] , and demographic data from the Center for Disease Control and Prevention [1, 2, 3, 4, 9, 10 ]. Our current data includes COVID-19 case data, demographic data, longitudinal news and web search trends, media bias data, and mobility reports, but there are many other types of social signals that could be studied in order to better understand and model the effects of the pandemic.	./cache/cord-169141-71qh6yjr.txt	./txt/cord-169141-71qh6yjr.txt