  The World Health Organization have emphasised that misinformation - spreading
rapidly through social media - poses a serious threat to the COVID-19 response.
Drawing from theories of health perception and cognitive load, we develop and
test a research model hypothesizing why people share unverified COVID-19
information through social media. Our findings suggest a person's trust in
online information and perceived information overload are strong predictors of
unverified information sharing. Furthermore, these factors, along with a
person's perceived COVID-19 severity and vulnerability influence cyberchondria.
Females were significantly more likely to suffer from cyberchondria, however,
males were more likely to share news without fact checking their source. Our
findings suggest that to mitigate the spread of COVID-19 misinformation and
cyberchondria, measures should be taken to enhance a healthy skepticism of
health news while simultaneously guarding against information overload.
