id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_xc4m2zrlzva5foc2b4a4w2qwgu	Thu T. Nguyen	Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of COVID-19	2020	13	.pdf	application/pdf	7982	1026	61	The proportion of negative tweets referencing Asians increased by 68.4% (from 9.79% in November Keywords: social media; minority groups; racial bias; big data; content analysis on the sentiment of tweets using race-related terms before and following the emergence of COVID-19 were compiled from racial and ethnic categories used by prior studies examining race-related online a qualitative content analysis of a random subsample of COVID-19 and race-related tweets. other racial and ethnic minorities was substantially higher than tweets specifically referencing Asians Blacks had the highest proportion of negative tweets of all racial/ethnic groups but changed little over Percent of tweets referencing racial and ethnic groups that are negative by month, November In April, 13.1% of tweets using Asian-related keywords were negative virus, quarantine, rona, pandemic, wuhan, xenophobia, plague, social distancing, epidemic, stay at or blame, 20% had themes expressing anti-racism, and 27% tweets related to daily life impacted by https://caasf.org/2020/06/anti-chinese-rhetoric-tied-to-racism-against-asian-americans-stop-aapi-hate-report/ https://caasf.org/2020/06/anti-chinese-rhetoric-tied-to-racism-against-asian-americans-stop-aapi-hate-report/	./cache/work_xc4m2zrlzva5foc2b4a4w2qwgu.pdf	./txt/work_xc4m2zrlzva5foc2b4a4w2qwgu.txt