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During the COVID-19 pandemic information about the transmission of the virus came out slowly and recommended practices changed over time. This made communication media, like the Internet, especially important. Few prior studies have considered how digital inequalities influence information flows. Building on three research streams – vaccine hesitancy, information-seeking, and digital inequalities – we examine how digital inequalities, health media, and mass media affect COVID-19 vaccine hesitancy. Using representative survey data of US Internet users, our structural equation model demonstrates the importance of digital inequalities and media use for vaccine hesitancy. Digital inclusion plays an important role in public health. It leads to increased health information-seeking, which reduces vaccine hesitancy. Our model presents evidence supporting a comprehensive policy approach to vaccine hesitancy beyond factors like socio-demographics and prior health beliefs to include broader factors like digital equity measures and sources of health information. Where and how people find information on public health issues seems to be as important as demographics.

Digital inequalities and public health during COVID-19: media dependency and vaccination