COVID-19 Misinformation Trends in Australia: Prospective Longitudinal National Survey.
Kristen Pickles, Erin Cvejic, Brooke Nickel, Tessa Copp, Carissa Bonner, Julie Leask, Julie Ayre, Carys Batcup, Samuel Cornell, Thomas Dakin, Rachael H Dodd, Jennifer M J Isautier, Kirsten J McCaffery
Author Information
Kristen Pickles: The University of Sydney, Sydney, Australia. ORCID
Erin Cvejic: The University of Sydney, Sydney, Australia. ORCID
Brooke Nickel: The University of Sydney, Sydney, Australia. ORCID
Tessa Copp: The University of Sydney, Sydney, Australia. ORCID
Carissa Bonner: The University of Sydney, Sydney, Australia. ORCID
Julie Leask: The University of Sydney, Sydney, Australia. ORCID
Julie Ayre: The University of Sydney, Sydney, Australia. ORCID
Carys Batcup: The University of Sydney, Sydney, Australia. ORCID
Samuel Cornell: The University of Sydney, Sydney, Australia. ORCID
Thomas Dakin: The University of Sydney, Sydney, Australia. ORCID
Rachael H Dodd: The University of Sydney, Sydney, Australia. ORCID
Jennifer M J Isautier: The University of Sydney, Sydney, Australia. ORCID
Kirsten J McCaffery: The University of Sydney, Sydney, Australia. ORCID
BACKGROUND: Misinformation about COVID-19 is common and has been spreading rapidly across the globe through social media platforms and other information systems. Understanding what the public knows about COVID-19 and identifying beliefs based on misinformation can help shape effective public health communications to ensure efforts to reduce viral transmission are not undermined. OBJECTIVE: This study aimed to investigate the prevalence and factors associated with COVID-19 misinformation in Australia and their changes over time. METHODS: This prospective, longitudinal national survey was completed by adults (18 years and above) across April (n=4362), May (n=1882), and June (n=1369) 2020. RESULTS: Stronger agreement with misinformation was associated with younger age, male gender, lower education level, and language other than English spoken at home (P<.01 for all). After controlling for these variables, misinformation beliefs were significantly associated (P<.001) with lower levels of digital health literacy, perceived threat of COVID-19, confidence in government, and trust in scientific institutions. Analyses of specific government-identified misinformation revealed 3 clusters: prevention (associated with male gender and younger age), causation (associated with lower education level and greater social disadvantage), and cure (associated with younger age). Lower institutional trust and greater rejection of official government accounts were associated with stronger agreement with COVID-19 misinformation. CONCLUSIONS: The findings of this study highlight important gaps in communication effectiveness, which must be addressed to ensure effective COVID-19 prevention.
