id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-284851-gtdyexp1	Green, Jon	Elusive consensus: Polarization in elite communication on the COVID-19 pandemic	2020-07-10		.txt	text/plain	2786	125	46	We examine polarization in cues sent to the public by current members of the U.S. House and Senate during the onset of the COVID-19 pandemic, measuring polarization as the ability to correctly classify the partisanship of tweets' authors based solely on the text and the dates they were sent. We find further evidence of polarization in elite communication regarding the COVID-19 pandemic using a combination of natural language processing and machine learning techniques, which en-able us to correctly classify the partisanship of 76% of tweets based solely on the text features they contain and the dates they were sent. Plot (B) shows the increases of political ideology of members of Congress by the median predicted probability of their test set tweets being authored by a Republican. Our analysis of tweets sent by members of Congress during the early months of the outbreak indicates that members quickly polarized around the issue, with Democrats discussing the issue earlier, more frequently, and with more emphasis on public health and direct aid to affected workers.	./cache/cord-284851-gtdyexp1.txt	./txt/cord-284851-gtdyexp1.txt