Review: A first look at COVID-19 information and misinformation sharing on Twitter

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Review: A first look at COVID-19 information and misinformation sharing on Twitter

Review: A first look at COVID-19 information and misinformation sharing on Twitter

This research article focuses on the types, content, and origin of information on Twitter surrounding COVID-19.

COVID-19 cases are highly correlated with Twitter conversations, and those conversations lead the cases by 2-5 days. This suggestions that we can use Twitter conversations to help predict the spread of COVID-19. Attention, discussion, and information sharing about COVID-19 is greatest for those who are most impacted by the virus. Fortunately, credible information is being shared at about the same pace as misinformation. So although poor quality information and myths are being discussed, their presence is less dominant than other crisis specific themes.

|2020-04-16T13:59:23-04:00April 16th, 2020|COVID-19 Literature|Comments Off on Review: A first look at COVID-19 information and misinformation sharing on Twitter

About the Author: Maria Brann

Maria Brann
Dr. Maria Brann, PhD, MPH, is a professor in the Department of Communication Studies in the School of Liberal Arts at IUPUI and affiliate faculty with the Injury Control Research Center at West Virginia University. She explores the integration of health, interpersonal, and gender communication. Her translational focus and mixed methods approach are woven throughout her health vulnerabilities research, which advocates for more effective communication to improve people’s health and safety. Her primary research interests focus on the study of women’s and ethical issues in health communication contexts and promotion of healthy lifestyle behaviors to improve personal and public health and safety. She researches communication at both the micro and macro levels and studies how communication influences relationships among individuals and with the social world.

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