id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-190407-l9mutkby	Ziems, Caleb	Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis	2020-05-25		.txt	text/plain	6233	400	63	We create COVID-HATE, the largest dataset of anti-Asian hate and counterhate spanning three months, containing over 30 million tweets, and a social network with over 87 million nodes. Using this data to conduct longitudinal analysis, we find that while hateful users are less engaged in the COVID-19 discussions prior to their first anti-Asian tweet, they become more vocal and engaged afterwards compared to counterhate users. In this paper, we present COVID-HATE, the largest dataset of anti-Asian hate and counterhate speech on Twitter in the context of the COVID-19 pandemic, along with a long-term longitudinal study. • We conduct statistical, linguistic, geographic, and network analysis of hate and counterhate tweets and users to reveal characteristic patterns of the origin, evolution, and spread of anti-Asian hate throughout the world. In this section, we describe COVID-HATE, a Twitter dataset containing COVID-19 related anti-Asian hate and counterhate tweets and network.	./cache/cord-190407-l9mutkby.txt	./txt/cord-190407-l9mutkby.txt