Young Anna Argyris is an Assistant Professor in the Department Media and Information, Michigan State University. She has received a PhD in Management Information Systems from the Sauder School of Business, University of British Columbia under Dr. Izak Benbasat's supervision.
Before joining MSU, she was an assistant professor at the Gabelli School of Business, Fordham University and a visiting scholar at Carroll School of Management, Boston College.
Dr. Argyris’s research centers on the design, development, and use of Information Technology for aiding users’ decision-making and creating social influence. Her application areas center on health misinformation and social media influencers. With her collaborators in Computer Science, Dr. Argyris’s has developed deep learning models for classifying vaccine misinformation propagated on social media that hampers Human-papilloma virus vaccine uptakes among US teens. In addition, Dr. Argyris has applied deep learning models to identify how “visual congruence” (the similarity portrayed in visual elements of social media posts between message sources and recipients) can be used to augment the sources’ influences on the receivers. From these studies, Dr. Argyris has proposed a new concept, visual congruence-induced social influence, which she uses to create influential social media campaigns to counteract health misinformation.
Her previous work has appeared in MIS Quarterly, Information Systems Research, Communication of the ACM, ACM Transactions on Computer-Human Interaction, Journal of Information Technology, and International Journal of Electronic Commerce, among others.
She is an active contributor to the Information Systems community. She serves as an associate editor for many conferences including International Conferences on Information Systems, and as an ad-hoc reviewer for renowned journals such as MIS Quarterly and Information Systems Research.
Dr. Argyris is the principal investigator of an R21 grant from the National Library of Medicine, National Institutes of Health on the project entitled Development of a vaccine misinformation portal and its application to identifying the impact of social media vaccine posts on immunization rates during a global pandemic.
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