id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-254191-5cxv9l3c	Islam, A.K.M. Najmul	Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective	2020-07-12		.txt	text/plain	11923	668	49	Building off the affordance lens and cognitive load theory, we investigate how motivational factors and personal attributes influence social media fatigue and the sharing of unverified information during the COVID-19 pandemic. The lack of critique on thoughts and the amplification of radical ideas by the virtual echo-chambers created by social media have been claimed to contribute to increased dissemination of misinformation (Barberá et al., T During COVID-19, clear communication of the severity of the situation and recommended health measures was needed to ensure people took correct action and did not suffer from unnecessary anxiety (Farooq et al., 2020) . From Table 2 , DS-R is the most critical predictor followed by exploration, self-promotion, religiosity, SMF, and entertainment in predicting unverified information sharing. We found that SMF, self-promotion, entertainment, exploration, DS-R, and religiosity all predicted unverified COVID-19 information sharing on social media.	./cache/cord-254191-5cxv9l3c.txt	./txt/cord-254191-5cxv9l3c.txt