id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-248932-i1v2lyd2	Madraki, Golshan	Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms	2020-10-13		.txt	text/plain	6827	399	50	Our multi-cultural and multilingual team observed that the nature of COVID-19 misinformation on social media varied in substantial ways across different languages/countries depending on the cultures, beliefs/religions, popularity of social media, types of platforms, freedom of speech and the power of people versus governments. In this paper, COVID-19 misinformation, broadly defined to include disinformation and mal-information as well, will be investigated within multiple languages (Chinese, English, and Farsi) about multiple countries (China, Iran, and the USA) on different social media platforms. To the best of our knowledge, we are the first to examine the multilingual social media landscape by using the opportunistic sampling method to collect a dataset of verified and viral COVID-19 misinformation across 3 languages: Chinese, English, and Farsi. Our multicultural and multilingual team observed that the nature of COVID-19 misinformation on social media varies in substantial ways across different languages/countries depending on the cultures, beliefs, religions, popularity of social media, types of platforms, freedom of speech, the power of people versus governments, etc.	./cache/cord-248932-i1v2lyd2.txt	./txt/cord-248932-i1v2lyd2.txt